subject:(synaptic connectivity)

University of Cambridge

1. Valdes Aleman, Javier. Development of neuronal connectivity in the central nervous system of Drosophila melanogaster .

Degree: 2019, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/291803

► Our nervous system is made of billions of neurons that process sensory information and control behavior. It is organized into circuits with specifically tuned cell-to-cell… (more)

▼ Our nervous system is made of billions of neurons that process sensory information and control behavior. It is organized into circuits with specifically tuned cell-to-cell connections that are essential for proper function. During development, neurons project to remote locations in search of their synaptic partners. Surrounded by numerous cells along their trajectory and in their target area, these developing neurons ignore most neurons with which they come into contact and connect with very specific partners. The mechanisms by which presynaptic axon terminals and postsynaptic dendrites recognize each other and establish the correct number of connections with the appropriate strength are poorly understood. Sperry’s chemoaffinity hypothesis proposes that pre- and postsynaptic partners express specific combinations of molecules that enable them to recognize each other. Alternatively, Peters’ rule proposes that presynaptic axons and postsynaptic dendrites use non-partner-derived global positional cues to independently reach their target area, and once there they randomly connect with any available neuron. These connections can then be further refined by additional mechanisms based on synaptic activity. I use the Drosophila embryo and larva, a tractable model system, to test these hypotheses and elucidate the roles of 1) global positional cues, 2) partner-derived cues and 3) synaptic activity in the establishment of selective connections in the developing nerve cord. I altered the position or activity of presynaptic partners and analyzed the effect of these manipulations on number of synapses with postsynaptic partners, strength of functional connections, and behavior controlled by these neurons. For this purpose, I combined developmental live imaging, electron microscopy reconstruction of circuits, functional imaging of neuronal activity, and behavioral experiments in wildtype and experimental animals. I found that postsynaptic dendrites are able to find, recognize, and connect to their presynaptic partners even when these have been shifted to ectopic locations through the overexpression of receptors for midline guidance cues. This suggests that neurons use partner-derived cues that allow them to identify and connect to each other. However, while partner-derived cues are sufficient for recognition between specific partners and establishment of connections; without orderly positioning of axon terminals by positional cues and without synaptic activity during embryonic development, the number and strength of functional connections are altered with significant consequences for behavior. Thus, multiple mechanisms including global positional cues, partner-derived cues, and synaptic activity contribute to proper circuit assembly in the developing Drosophila nerve cord.

Subjects/Keywords: Drosophila; neural circuit; synaptic specificity; connectivity; specificity

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APA (6^th Edition):

Valdes Aleman, J. (2019). Development of neuronal connectivity in the central nervous system of Drosophila melanogaster . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/291803

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Valdes Aleman, Javier. “Development of neuronal connectivity in the central nervous system of Drosophila melanogaster .” 2019. Thesis, University of Cambridge. Accessed December 12, 2019. https://www.repository.cam.ac.uk/handle/1810/291803.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Valdes Aleman, Javier. “Development of neuronal connectivity in the central nervous system of Drosophila melanogaster .” 2019. Web. 12 Dec 2019.

Vancouver:

Valdes Aleman J. Development of neuronal connectivity in the central nervous system of Drosophila melanogaster . [Internet] [Thesis]. University of Cambridge; 2019. [cited 2019 Dec 12]. Available from: https://www.repository.cam.ac.uk/handle/1810/291803.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Valdes Aleman J. Development of neuronal connectivity in the central nervous system of Drosophila melanogaster . [Thesis]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/291803

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universiteit Utrecht

2. Haider, T.A. The Importance of Glia-Synapse Interactions in Synaptic Connectivity.

Degree: 2014, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/297713

► During the past decades, it has become clear that glial cells play a vital role in all stages of the synaptic life cycle: Formation, elimination,… (more)

Subjects/Keywords: Glia; synaptic connectivity; synapse formation; synapse elimination; in vivo; imaging; neurons; astrocytes; microglia; motor learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Haider, T. A. (2014). The Importance of Glia-Synapse Interactions in Synaptic Connectivity. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/297713

Chicago Manual of Style (16^th Edition):

Haider, T A. “The Importance of Glia-Synapse Interactions in Synaptic Connectivity.” 2014. Masters Thesis, Universiteit Utrecht. Accessed December 12, 2019. http://dspace.library.uu.nl:8080/handle/1874/297713.

MLA Handbook (7^th Edition):

Haider, T A. “The Importance of Glia-Synapse Interactions in Synaptic Connectivity.” 2014. Web. 12 Dec 2019.

Vancouver:

Haider TA. The Importance of Glia-Synapse Interactions in Synaptic Connectivity. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2019 Dec 12]. Available from: http://dspace.library.uu.nl:8080/handle/1874/297713.

Council of Science Editors:

Haider TA. The Importance of Glia-Synapse Interactions in Synaptic Connectivity. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/297713

University of California – San Diego

3. Umbria Pedroni, Bruno. Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems.

Degree: Bioengineering, 2019, University of California – San Diego

URL: http://www.escholarship.org/uc/item/5d83n1x2

► The brain's cognitive power does not arise on exacting digital precision in high-performance computing, but emerges from an extremely efficient and resilient collective form of… (more)

▼ The brain's cognitive power does not arise on exacting digital precision in high-performance computing, but emerges from an extremely efficient and resilient collective form of computation extending over very large ensembles of sluggish, imprecise, and unreliable analog components. In contrast to the reliable spike generation mechanism of cortical neurons, synapses are regarded as the primary source of this probabilistic behavior owing to release failures and quantal fluctuations. It has been speculated that the overall power efficiency and noise tolerance of the brain is a result of this unreliability in communication between neurons. Inspired by the stochastic nature of brain dynamics, we present methods of exploiting these concepts in order to produce more efficient algorithms and systems in the realm of neuromorphic computing, offering links between two traditionally disjoint scientific disciplines: computational neuroscience concerned with constructing models of brain function, and machine learning concerned with realizing adaptive computational intelligence.The first part of the dissertation investigates extensions on the Boltzmann machine, a stochastic recurrent artificial neural network capable of learning probability distributions over its inputs. Boltzmann machines are interesting from a neuromorphic perspective due to the local and Hebbian nature of their learning rule, along with parallel processing between network layers with which biological neural networks also operate. Additionally, the neurons in these networks present probabilistic activation functions and communicate with binary events, similar to what has been observed in experimental recordings of neural data. In search of more biological plausibility in inference and learning, we present conditions for significant equivalence between Boltzmann machines with contrastive divergence machine learning and integrate-and-fire neuronal networks with spike-timing-dependent plasticity (STDP). Next, we extend our methods to networks whose sole source of stochasticity pertains to the synapse, showing that synaptic noise can produce an efficient means of sampling. As the hallmark learning rule in spiking neural networks, we then investigate how STDP can be readily performed using simply forward connectivity access, and compare different data structures for organizing synaptic weights for memory efficiency.In the second part of the dissertation, we focus on learning neuromorphic systems and applications, including a methodology and an automation tool for implementing generative models of Boltzmann machines with digital spiking neurons. Next, we demonstrate how sparsely active neurons are capable of producing efficient results in a small-footprint keyword spotting application. Lastly, we present our ongoing work in designing a very large-scale reconfigurable digital neuromorphic system, tailored for both the machine learning as well as the computational neuroscience communities, which exploits the stochastic and temporal coding strategies developed in the…

Subjects/Keywords: Artificial intelligence; Neurosciences; Computer engineering; artificial neural network; Boltzmann; Neuromorphic; spiking neural network; STDP; synaptic connectivity

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APA (6^th Edition):

Umbria Pedroni, B. (2019). Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/5d83n1x2

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Umbria Pedroni, Bruno. “Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems.” 2019. Thesis, University of California – San Diego. Accessed December 12, 2019. http://www.escholarship.org/uc/item/5d83n1x2.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Umbria Pedroni, Bruno. “Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems.” 2019. Web. 12 Dec 2019.

Vancouver:

Umbria Pedroni B. Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems. [Internet] [Thesis]. University of California – San Diego; 2019. [cited 2019 Dec 12]. Available from: http://www.escholarship.org/uc/item/5d83n1x2.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Umbria Pedroni B. Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems. [Thesis]. University of California – San Diego; 2019. Available from: http://www.escholarship.org/uc/item/5d83n1x2

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Jerome, Jason Paul. Neocortical Layer 4 to Layer 2/3 Sensory Information Processing Investigated with Digital-Light-Projection Neuronal Photostimulation.

Degree: PhD, Biomedical Sciences, 2012, University of Tennessee Health Science Center

URL: https://dc.uthsc.edu/dissertations/138

► The mammalian brain forms neuronal networks and microcircuits with cell-type- and anatomical-specific synaptic connections. Despite great advances in elucidating the cellular physiology of the… (more)

▼ The mammalian brain forms neuronal networks and microcircuits with cell-type- and anatomical-specific synaptic connections. Despite great advances in elucidating the cellular physiology of the nervous system, little is known about the computational processes occurring at the level of neuronal microcircuits. Much success has been reported in describing the synaptic input patterns of many brain regions and cell types using photostimulation systems; however, these systems are severely limited in their ability to study the integration of synaptic input from multiple synchronous or temporally correlated presynaptic locations. Here we describe a system that allows the generation of arbitrary 2-D stimulus patterns with thousands of independently controlled sites to manipulate the activity of populations of neurons with high spatial and temporal precision. The PC-controlled Digital-Light-Processing (DLP) based system updates the 780,000 parallel photostimulation beams, or pixels, at a maximum rate of 13 kHz. With the currently used projection objective, the pixel sizes at the plane of focus are 7.3 µm2 . The high-power UV laser source used in this system provides a light flux density sufficient for bins of 8x8 pixels (21.6 µm x 21.6 µm) with dwell times as low 3 ms to reliably induce action potentials in 2.5 mM MNI-caged glutamate. At these settings the effective diameter of a glutamate uncaging site is < 86 µm, which is equivalent to most other UV photostimulation rigs. With DLP photostimulation, sub-threshold responses and action potentials can be synchronously induced at thousands of sites over a 2.76 mm x 2.07 mm area, a capability unmatched by any other current system. This DLP-based system has the unique capability to investigate normal and diseased circuit properties by investigating neuronal responses to spatiotemporally complex activity patterns. This technique was used to investigate the temporal integration of synaptic input in the whisker barrel cortex of mice. The neocortex is organized into layers, with neuronal networks and circuits formed by layer-specific connections. While the anatomical organization of these circuits has been well characterized, the information processing and coding performed by these ensembles is poorly understood. A key component of this investigation concerns the transmission and transformation of the neuronal representation from one neuronal pool to the next. In the rodent somatosensory barrel cortex, histologically-distinguishable “barrels” in layer 4 (L4) receive principal input from a single whisker. L4 projects to layer II/III (L2/3), where the circuit diverges to multiple postsynaptic targets. Using the DLP-photostimulation system, we modulated the synchronicity of action potentials in L4 cells while recording from L2/3 in an acute slice preparation. This data shows that synchronous activity in L4 neurons is highly effective at eliciting strong spiking responses in L2/3 pyramidal cells, while asynchronous L4 activity fails to drive L2/3 to action-potential threshold.… Advisors/Committee Members: Detlef Heck Ph.D..

Subjects/Keywords: barrel cortex; neocortex; neuronal microcircuit; neurophysiology; photostimulation; synaptic connectivity; Medical Sciences; Medicine and Health Sciences; Neurosciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jerome, J. P. (2012). Neocortical Layer 4 to Layer 2/3 Sensory Information Processing Investigated with Digital-Light-Projection Neuronal Photostimulation. (Doctoral Dissertation). University of Tennessee Health Science Center. Retrieved from https://dc.uthsc.edu/dissertations/138

Chicago Manual of Style (16^th Edition):

Jerome, Jason Paul. “Neocortical Layer 4 to Layer 2/3 Sensory Information Processing Investigated with Digital-Light-Projection Neuronal Photostimulation.” 2012. Doctoral Dissertation, University of Tennessee Health Science Center. Accessed December 12, 2019. https://dc.uthsc.edu/dissertations/138.

MLA Handbook (7^th Edition):

Jerome, Jason Paul. “Neocortical Layer 4 to Layer 2/3 Sensory Information Processing Investigated with Digital-Light-Projection Neuronal Photostimulation.” 2012. Web. 12 Dec 2019.

Vancouver:

Jerome JP. Neocortical Layer 4 to Layer 2/3 Sensory Information Processing Investigated with Digital-Light-Projection Neuronal Photostimulation. [Internet] [Doctoral dissertation]. University of Tennessee Health Science Center; 2012. [cited 2019 Dec 12]. Available from: https://dc.uthsc.edu/dissertations/138.

Council of Science Editors:

Jerome JP. Neocortical Layer 4 to Layer 2/3 Sensory Information Processing Investigated with Digital-Light-Projection Neuronal Photostimulation. [Doctoral Dissertation]. University of Tennessee Health Science Center; 2012. Available from: https://dc.uthsc.edu/dissertations/138

5. Erlandson, Melissa. Investigating the plasticity of sensory cortical circuits in the context of learning in the wild-type mouse and a conditional mouse model of fragile X syndrome : Défauts dans les circuits corticaux sensoriels et les déficits d'apprentissage chez la souris de type sauvage et chez une souris modèle conditionnelle du syndrome de l’X fragile.

Degree: Docteur es, Neurosciences, 2017, Aix Marseille Université

URL: http://www.theses.fr/2017AIXM0342

►

L'objectif de ce projet est l’étude de la plasticité des circuits corticaux dans le contexte de l'apprentissage des souris « sauvages » et modèles du… (more)

▼

L'objectif de ce projet est l’étude de la plasticité des circuits corticaux dans le contexte de l'apprentissage des souris « sauvages » et modèles du syndrome de l’X fragile. Des études sur l'efficacité de la combinaison d'enregistrement des potentiels de champ locaux extracellulaires avec la stimulation laser UV (LSPS) pour cartographier les réseaux ont été réalisées. Nous avons trouvé des enregistrements de champs extracellulaires qui pourraient être utilisés pour détecter les réponses synaptiques évoquées par LSPS. Nos résultats indiquent une méthode alternative pour obtenir des cartes complètes de réseaux intracorticaux excitateurs. Ensuite, nous avons développé un paradigme d'apprentissage associatif sensoriel et étudié ses effets sur les réseaux intracorticaux excitateurs du cortex baril. Ex vivo un affaiblissement des projections excitatrices entre les couches 4 et 2/3 qui dans les colonnes de vibrisses C a été observée. Enfin, nous avons utilisé ces mêmes approches dans une souris modèle du syndrome de l'X fragile (FXS). Pour étudier les liens entre les déficits sensoriels, l'apprentissage associatif et les altérations fonctionnelles des réseaux sensoriels, nous avons utilisé un modèle de souris mutantes dans lequel la pathologie FXS était ciblée sur la couche 4 du cortex somatosensoriel. Il a été constaté que les souris WT présentaient une dépression similaire, alors qu'elle était absente FXS. En conclusion, les études sur les mutants sensoriels de type sauvage ont mis en lumière les conséquences de l'apprentissage sur les réseaux corticaux sensoriels et les liens entre la plasticité des réseaux corticaux sensoriels et les capacités cognitives.

The aim of this project is to study the plasticity of the cortical circuits in the context of the learning of wild type mice and models of Fragile X Syndrome. First, investigations into the efficacy of recording combination of extracellular local field potentials with UV laser stimulation (LSPS) to map networks were performed. We found extracellular field records could be used to detect the synaptic responses evoked by LSPS. Our results indicate an alternative method for obtaining complete maps of excitatory intracortical networks. Next, we developed a sensory associative learning paradigm and studied its effects on excitatory intracortical networks the barrel cortex. Ex vivo a weakening of the excitatory projections between layers 4 and 2/3 which in the columns of vibrissae C was observed and declined function of the speed of the behavioural response. Finally, we used these same approaches in a Fragile X Syndrome (FXS) model mouse. To study the links between sensory deficits, associative learning, and functional alterations of sensory networks, we used a model of mutant mice in which the FXS pathology was targeted to the layer 4 of the somatosensory cortex. Our hypotheses were that behavioural conditioning would change the cortical sensory circuits of the FXS sensory mutant and that the abnormal plasticity of these circuits would in turn affect the performance. It…

Advisors/Committee Members: Represa, Alfonso (thesis director), Bureau, Ingrid (thesis director).

Subjects/Keywords: Apprentissage; Du syndrome de l'X fragile (FXdu syndrome de l'X fragile (FXS); Réseaux intracorticaux; Cortex somatosensoriel; Plasticité; Laser Scanning Photostimulation; Enregistrements de champs extracellulaires; Associative learning; Fragile X Syndrome (FXS); Barrel Cortex; Synaptic Plasticity; Intracortical Connectivity; Laser Scanning Photostimulation; Extracellular Recording; 612

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Erlandson, M. (2017). Investigating the plasticity of sensory cortical circuits in the context of learning in the wild-type mouse and a conditional mouse model of fragile X syndrome : Défauts dans les circuits corticaux sensoriels et les déficits d'apprentissage chez la souris de type sauvage et chez une souris modèle conditionnelle du syndrome de l’X fragile. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2017AIXM0342

Chicago Manual of Style (16^th Edition):

Erlandson, Melissa. “Investigating the plasticity of sensory cortical circuits in the context of learning in the wild-type mouse and a conditional mouse model of fragile X syndrome : Défauts dans les circuits corticaux sensoriels et les déficits d'apprentissage chez la souris de type sauvage et chez une souris modèle conditionnelle du syndrome de l’X fragile.” 2017. Doctoral Dissertation, Aix Marseille Université. Accessed December 12, 2019. http://www.theses.fr/2017AIXM0342.

MLA Handbook (7^th Edition):

Erlandson, Melissa. “Investigating the plasticity of sensory cortical circuits in the context of learning in the wild-type mouse and a conditional mouse model of fragile X syndrome : Défauts dans les circuits corticaux sensoriels et les déficits d'apprentissage chez la souris de type sauvage et chez une souris modèle conditionnelle du syndrome de l’X fragile.” 2017. Web. 12 Dec 2019.

Vancouver:

Erlandson M. Investigating the plasticity of sensory cortical circuits in the context of learning in the wild-type mouse and a conditional mouse model of fragile X syndrome : Défauts dans les circuits corticaux sensoriels et les déficits d'apprentissage chez la souris de type sauvage et chez une souris modèle conditionnelle du syndrome de l’X fragile. [Internet] [Doctoral dissertation]. Aix Marseille Université 2017. [cited 2019 Dec 12]. Available from: http://www.theses.fr/2017AIXM0342.

Council of Science Editors:

Erlandson M. Investigating the plasticity of sensory cortical circuits in the context of learning in the wild-type mouse and a conditional mouse model of fragile X syndrome : Défauts dans les circuits corticaux sensoriels et les déficits d'apprentissage chez la souris de type sauvage et chez une souris modèle conditionnelle du syndrome de l’X fragile. [Doctoral Dissertation]. Aix Marseille Université 2017. Available from: http://www.theses.fr/2017AIXM0342

Vrije Universiteit Amsterdam

6. Avella Gonzalez, O.J. Mechanisms of Cortical Oscillations: Waxing and waning, Resonance and Internetwork interactions .

Degree: 2014, Vrije Universiteit Amsterdam

URL: http://hdl.handle.net/1871/51535

Subjects/Keywords: Computational Neurosciences; Neuronal networks; Cortical oscillations; High/Low amplitude episodes (HAE/LAE); Synaptic connectivity.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Avella Gonzalez, O. J. (2014). Mechanisms of Cortical Oscillations: Waxing and waning, Resonance and Internetwork interactions . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/51535

Chicago Manual of Style (16^th Edition):

Avella Gonzalez, O J. “Mechanisms of Cortical Oscillations: Waxing and waning, Resonance and Internetwork interactions .” 2014. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed December 12, 2019. http://hdl.handle.net/1871/51535.

MLA Handbook (7^th Edition):

Avella Gonzalez, O J. “Mechanisms of Cortical Oscillations: Waxing and waning, Resonance and Internetwork interactions .” 2014. Web. 12 Dec 2019.

Vancouver:

Avella Gonzalez OJ. Mechanisms of Cortical Oscillations: Waxing and waning, Resonance and Internetwork interactions . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2014. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1871/51535.

Council of Science Editors:

Avella Gonzalez OJ. Mechanisms of Cortical Oscillations: Waxing and waning, Resonance and Internetwork interactions . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2014. Available from: http://hdl.handle.net/1871/51535

7. Wärnberg, Emil. Modelling Low Dimensional Neural Activity.

Degree: CB, 2016, KTHKTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185317

►

A number of recent studies have shown that the dimensionality of the neural activity in the cortex is low. However, what network structures are… (more)

Subjects/Keywords: neural networks; low dimensional; neural; activity; neural engineering framework; NEF; nef; artificial neural network; ann; dimensionality; log-normal; log; normal; distribution; synaptic; geometric; connectivity; Bioinformatics (Computational Biology); Bioinformatik (beräkningsbiologi)

…compressed into a single number per synapse called the synaptic weight. By assuming that each… …postsynaptic neuron j, a single value wji is sufficient to describe the synaptic weight3 . By letting… …synaptic weights. The relation between (weighted) input spiking rate and the resulting… …employed. 2.3 Network features Through the synaptic connections, neurons form networks… …neuron’s outgoing 3 Note that indexing of the synaptic weight is post, pre. This is convenient…

5 more images…

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APA (6^th Edition):

Wärnberg, E. (2016). Modelling Low Dimensional Neural Activity. (Thesis). KTHKTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185317

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wärnberg, Emil. “Modelling Low Dimensional Neural Activity.” 2016. Thesis, KTHKTH. Accessed December 12, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185317.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wärnberg, Emil. “Modelling Low Dimensional Neural Activity.” 2016. Web. 12 Dec 2019.

Vancouver:

Wärnberg E. Modelling Low Dimensional Neural Activity. [Internet] [Thesis]. KTHKTH; 2016. [cited 2019 Dec 12]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185317.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wärnberg E. Modelling Low Dimensional Neural Activity. [Thesis]. KTHKTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185317

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations