Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 27 for “"spike timing dependent plasticity"”.
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Network Structures Arising from Spike-Timing Dependent Plasticity
Spike-timing dependent plasticity (STDP), a widespread synaptic modification mechanism, is sensitive to correlations between presynaptic spike trains, and organizes neural circuits in functionally useful ways. n this dissertation, I study the structures arising from STDP in a population of synapses …
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Finding patterns in timed data with spike timing dependent plasticity
My research focuses on finding patterns in events - in sequences of data that happen over time. It takes inspiration from a neuroscience phenomena believed to be deeply involved in learning. I propose a machine learning algorithm that finds patterns in timed data and is highly robust to noise and …
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Shaping of Spike-Timing-Dependent Plasticity curve using interneuron and calcium dynamics
… intention of using it to study the phenomenon of Spike-Timing-Dependent Plasticity (or STDP). Spike-Timing-Dependent Plasticity is the occurrence of either a strengthening or weakening in connection between two neurons, depending on the temporal order of stimulation between them. A major part of …
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Network Behavior Analysis of Spike Timing Dependent Plasticity (STDP) in Simulated Neural Networks
… research. This project applies a multiplicative Spike Timing Dependent Plasticity (STDP) model to the weighted graph output from neural growth simulations and analyzes the resulting spike and weight changes over time. This preliminary investigation establishes a baseline process for understanding …
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Analog Spiking Neural Network Implementing Spike Timing-Dependent Plasticity on 65 nm CMOS
… analog spiking neural network (SNN) implementing spike timing-dependent plasticity is proposed, developed, and tested to demonstrate equivalent learning abilities with fractional power consumption compared to its digital adversary.</p>
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A Heterosynaptic Spiking Neural System for the Development of Autonomous Agents
… Neural Model with extended Neuro-modulated Spike Timing Dependent Plasticity capabilities. This proposed architecture overcomes the limitation of the homosynaptic architecture underlying existing implementations of spiking neural networks that it lacks a natural spike timing dependent …
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Molecular mechanisms of synaptic plasticity
Synaptic plasticity serves as a central molecular mechanism underlying learning and memory formation in the brain. An increase in intracellular calcium concentrations triggered by neuronal activity induces synaptic plasticity, and calmodulin is a key protein that detects the elevated calcium levels …
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Calcium dynamics in dendrites and spines of spiny neurons in the somatosensory ‘barrel’ cortex of the rat
… might serve as an input specific trigger for spike-timing dependent plasticity. Indeed potentiation of EPSPs to 150% of the baseline amplitude could be induced by pairing extracellular stimulation with bAPs within the coincidence detection interval. Reversing the order of the stimuli resulted …
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Towards a neocortically-inspired ab initio cellular model of associative memory
… network topologies that evolve according to spike-timing dependent plasticity (STDP). We desire to understand how external signals (like speech, vision, etc.) are encoded in the dynamics of such SNNs. In particular, we desire to identify and confirm the extent to which various network-level …
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Optimizing Reservoir Computing Architecture for Dynamic Spectrum Sensing Applications
… hardware. Through the adoption of triplet-based Spike-Timing-Dependent Plasticity (STDP) and various spike encoding schemes on the spectrum dataset within the LSM, we investigate the advantages offered by these proposed techniques compared to traditional LSM models on the FPGA. FPGA boards, known …
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Growing synfire chains with triphasic spike-time-dependent plasticity
… is guided by an experimentally reported spike-timing-dependent plasticity (STDP) rule, triphasic STDP, plus activity-dependent excitability. This STDP rule, which has not been previously used in computational studies, is shown to successfully develop a synfire chain in a network of binary …
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Spike Processing Circuit Design for Neuromorphic Computing
… and energy-efficient computing platforms. Spike based-neuromorphic computing systems require high performance and low power neural encoder and decoder to emulate the spiking behavior of neurons. These two spike-analog signals converting interface determine the whole spiking neuromorphic …
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Investigating neuronal network dynamics : scale-invariance, preferred firing rates, and plasticity via phase-shift encoding
… critical for advancing our knowledge of neural plasticity and computation. Scale-invariant properties, which suggest self-organised criticality (SOC), have been observed in these networks, but the mechanisms underlying these dynamics have remained unclear. Despite theoretical models, there is …
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Induction and Maintenance of Synaptic Plasticity
… biochemical network involving calcium/calmodulin-dependent protein kinase II (CaMKII) and its regulating protein signaling cascade has been hypothesized to durably maintain the synaptic state in form of a bistable switch. Furthermore, it has been shown experimentally that CaMKII and associated …
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Analog VLSI circuit design of spike-timing-dependent synaptic plasticity
Synaptic plasticity is the ability of a synaptic connection to change in strength and is believed to be the basis for learning and memory. Currently, two types of synaptic plasticity exist. First is the spike-timing-dependent-plasticity (STDP), a timing-based protocol that suggests that the …
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Developing digital and analog spiking neural Networks for interacting with biological Tissues in the Case Study of temporal lobe Epilepsy
… capability of the SNN to learn and adapt using Spike-Timing-Dependent Plasticity (STDP) algorithms, laying the foundation for further hybrid experiments conducted with the IIT team. Subsequent stages of the project involved the design and fabrication of ASIC chips and PCBs to create a fully …
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Sample Path Analysis of Integrate-and-Fire Neurons
… the assumption that spatio-temporal patterns of spikes form the universal language of the nervous system. First, what function does a specific neural circuitry perform in the elaboration of a behavior? Second, how do neural circuits process behaviorally-relevant information? Non-linear system …
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Emergence and stability of complex structures from stochastic neuronal networks
A single neuron’s connectivity is the key to understanding the network of neurons in the brain. However, it is already a complicated system and many different approaches to understanding it have been taken over the years. One way is from anatomical study, which is to observe the morphology of each …
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Constructive spiking neural networks for simulations of neuroplasticity
… spiking neural networks and simulations of neuroplasticity. This theory is applied in the development of a constructive algorithm based on spike-timing- dependent plasticity (STDP) that achieves continual one-shot learning of hidden spike patterns through neuron construction. The theoretical …
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