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Showing 1 to 10 of 10 for “"Leaky integrate and fire"”.

  1. Travelling waves modulated by resonant currents in laterally-inhibited grids of leaky integrate-and-fire neurons

    … of neural activity are a biologically salient and analytically tractable dynamic of networks of neurons. They have been observed experimentally across the whole brain as well as at smaller scales, linked to functions as diverse as visual processing, motor coordination, and situating oneself in …

    exeter

  2. Design and Optimization of Temporal Encoders using Integrate-and-Fire and Leaky Integrate-and-Fire Neurons

    … encoders receive an analog signal as an input and generate a spike or spike trains as their output. The proposed temporal encoders use latency and Inter-Spike Interval (ISI) encoding and are expected to produce a highly sensitive hardware implementation of time encoding to preprocess signals …

    vt Repository record for Design and Optimization of Temporal Encoders using Integrate-and-Fire and Leaky Integrate-and-Fire Neurons (opens in a new tab)

  3. Modelling the synaptic plasticity underlying habituation, sensitization and classical conditioning of the Aplysia Californica Gill Siphon withdrawal reflex

    … models, including the Hodgkin Huxley equations and the Leaky Integrate-and-Fire model. Also included is a brief description of some neural coding schemes. The next chapter explains the basic functioning of synapses and introduces some common forms of synaptic plasticity. This is followed by a …

    cape-town Repository record for Modelling the synaptic plasticity underlying habituation, sensitization and classical conditioning of the Aplysia Californica Gill Siphon withdrawal reflex (opens in a new tab)

  4. Enabling Energy-Efficient Hybrid CMOS and Embedded Memory Accelerators for Neuromorphic Computing at the Edge

    … advances in autonomous driving, computer vision, and IoT, but is limited by the inefficiencies of conventional von Neumann architectures. The physical separation of memory and processing creates a performance bottleneck, with high energy and latency costs. This dissertation investigates hybrid …

    vt Repository record for Enabling Energy-Efficient Hybrid CMOS and Embedded Memory Accelerators for Neuromorphic Computing at the Edge (opens in a new tab)

  5. Neuromorphic deep convolutional neural network learning systems for FPGA in real time

    … speech recognition, natural language processing, and audio recognition, among others. In image vision, convolutional neural networks stand out, due to their relatively simple supervised training and their efficiency extracting features from a scene. Nowadays, there exist several implementations of …

    sevilla Repository record for Neuromorphic deep convolutional neural network learning systems for FPGA in real time (opens in a new tab)

  6. Growing synfire chains with triphasic spike-time-dependent plasticity

    … into functional networks capable of intricate and accurate information processing is one of the biggest and most interesting challenges in neuroscience today. To approach this challenge, it is necessary to address the problem one structure at a time. In this thesis the focus is the development …

    whiterose Repository record for Growing synfire chains with triphasic spike-time-dependent plasticity (opens in a new tab)

  7. An electrophysiological basis for human memory

    … processes underlying memory formation and retrieval in humans remains very poorly understood, and in turn, limits our abilities to provide effective therapy for patients suffering from these disorders. Here, we endeavored to investigate the underpinnings of human memory through …

    duke Repository record for An electrophysiological basis for human memory (opens in a new tab)

  8. Inference of functional neural connectivity and convergence acceleration methods

    … but not the intracellular voltage, of thousands of neurons gives us an opportunity to start filling that gap. In Chapter 2, I present a method for the inference of the parameters of the leaky integrate-and-fire (LIF) model featuring time-dependent currents and conductances based only on the …

    columbia-diss Repository record for Inference of functional neural connectivity and convergence acceleration methods (opens in a new tab)

  9. Sample Path Analysis of Integrate-and-Fire Neurons

    … analysis has proven instrumental in understanding the coding strategies of early neural processing in various sensory modalities. Yet, at higher levels of integration, it fails to help in deciphering the response of assemblies of neurons to complex naturalistic stimuli. If neural activity …

    rockefeller Repository record for Sample Path Analysis of Integrate-and-Fire Neurons (opens in a new tab)

  10. Optically injected dual state quantum dot lasers

    The spikes and pulses observed in biological neurons have similar characteristics to the excitable pulses seen in optically injected lasers. This thesis investigates the feasibility of optically injected dual state quantum dot lasers as artificial photonic neurons. Photonic waveguides are not as …

    cork Repository record for Optically injected dual state quantum dot lasers (opens in a new tab)