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 7 of 7 for “"Spike-Time-Dependent-Plasticity"”.
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Growing synfire chains with triphasic spike-time-dependent plasticity
… to address the problem one structure at a time. In this thesis the focus is the development of synfire chains. Synfire chains are feed-forward neural structures which have long been suggested as a possible mechanism by which precisely timed sequences of neural activity could be generated. …
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Biologically motivated reinforcement learning in spiking neural networks
… Recent research has demonstrated that synaptic plasticity in the higher regions of the brain (such as the cortex and striatum) depends on neuromodulatory signals which encode, amongst other things, a response to reward from the environment. I consider which forms of synaptic plasticity rules …
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Pattern Recognition Using Spiking Neural Networks
… neurons use a short electrical pulse known as a spike to transfer the information. The complexity and dynamic of these neurons allow them to perform complex computational tasks. However, training a spiking neural network does not follow the rule of conventional ANN, and we need to devise new …
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Dynamics and learning in recurrent neural networks
… neural networks. Specifically, I study how the spike-time-dependent synaptic plasticity helps to stabilize persistent neural activities in the ocular motor integrator. I study the connections between back-propagation and contrastive-Hebbian learning, and show how backpropagation could be …
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Imaging plasticity and structure of cortical maps in cat and mouse visual cortex
… stimulation. We found that the direction of plasticity within orientation maps depends critically on the relative timing between visual and electrical stimulation on a millisecond time scale: a shift in orientation preference towards the paired orientation was observed if the cortex was first …
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Indirect Training Algorithms for Spiking Neural Networks based on Spiking Timing Dependent Plasticity and Their Applications
… In potential applications such as</p><p>driving plasticity in neural culture (in-vitro) and training neuromorphic chips the</p><p>directly manipulation of synaptic weights is not possible. Therefore, indirect algo-</p><p>rithms, which cause the SNNs to learn based on some biological learning …
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An advanced neuromorphic accelerator on FPGA for next-G spectrum sensing
In modern communication systems, it’s important to detect and use available radio frequencies effectively. However, current methods face challenges with complexity and noise interference. We’ve developed a new approach using advanced artificial intelligence (AI) based computing techniques to …