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1. O'Brien, Michael John. The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards.

Degree: Mathematics, 2013, UCLA

In this thesis, we assess the role of short-term synaptic plasticity in an artificial neuralnetwork constructed to emulate two important brain functions: self-sustained activity andsignal propagation. We employ a widely used short-term synaptic plasticity model (STP)in a symbiotic network, in which two subnetworks with differently tuned STP behaviors areweakly coupled. This enables both self-sustained global network activity, generated by oneof the subnetworks, as well as faithful signal propagation within subcircuits of the othersubnetwork. Finding the parameters for a properly tuned STP network is difficult. Weprovide a theoretical argument for a method which boosts the probability of finding theelusive STP parameters by two orders of magnitude, as demonstrated in tests.We then combine STP with a novel critic-like synaptic learning algorithm, which we callARG-STDP for attenuated-reward-gating of STDP. STDP refers to a commonly used long-term synaptic plasticity model called spike-timing dependent plasticity. With ARG-STDP,we are able to learn multiple distal rewards simultaneously, improving on the previous rewardmodulated STDP (R-STDP) that could learn only a single distal reward. However, we alsoprovide a theoretical upperbound on the number of distal reward that can be learned usingARG-STDP.We also consider the problem of simulating large spiking neural networks. We describean architecture for efficiently simulating such networks. The architecture is suitable forimplementation on a cluster of General Purpose Graphical Processing Units (GPGPU). Novelaspects of the architecture are described and an analysis of its performance is benchmarkedon a GPGPU cluster. With the advent of inexpensive GPGPU cards and compute power,the described architecture offers an affordable and scalable tool for the design, real-timesimulation, and analysis of large scale spiking neural networks.DP.

Subjects/Keywords: Mathematics; Neurosciences; ARG-STDP; Distal Rewards; Reinforcement Learning; R-STDP; STDP; STP

R-STDP with Attenuated Reward Gating . . . . . . . . . . . . . . . 52 4.4 Single… …to Multiple Synapse Learning . . . . . . . . . . . . . . . . . . 57 4.5.1 R-STDP with… …STP Learns Multiple r-Patterns . . . . . . . . . . . . . 59 4.5.2 ARG-STDP Learns… …Multiple r-Patterns . . . . . . . . . . . . . . . . . 60 4.5.3 STP Stabilizes ARG-STDP Network… …xi 55 4.3 Synaptic learning under R-STDP. a) & c) Evolution of the synaptic… 

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APA (6th Edition):

O'Brien, M. J. (2013). The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/63r8s0br

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

Chicago Manual of Style (16th Edition):

O'Brien, Michael John. “The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards.” 2013. Thesis, UCLA. Accessed December 10, 2019. http://www.escholarship.org/uc/item/63r8s0br.

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

MLA Handbook (7th Edition):

O'Brien, Michael John. “The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards.” 2013. Web. 10 Dec 2019.

Vancouver:

O'Brien MJ. The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards. [Internet] [Thesis]. UCLA; 2013. [cited 2019 Dec 10]. Available from: http://www.escholarship.org/uc/item/63r8s0br.

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

Council of Science Editors:

O'Brien MJ. The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards. [Thesis]. UCLA; 2013. Available from: http://www.escholarship.org/uc/item/63r8s0br

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

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