Item does not contain fulltextAxonal conduction delays should not be ignored in simulations of spiking neural networks. Here it is shown that by using axonal conduction delays, neurons can display sensitivity to a specific spatio-temporal spike pattern. By using delays that complement the firing times in a pattern, spikes can arrive simultaneously at an output neuron, giving it a high chance of firing in response to that pattern. An unsupervised learning mechanism called spike-timing-dependent plasticity then increases the weights for connections used in the pattern, and decreases the others. This allows for an attunement of output neurons to specific activity patterns, based on temporal aspects of axonal conductivity.ICANNGA 10 - 10th inte...
Biological systems are able to recognise temporal sequences of stimuli or compute in the temporal do...
International audienceSpike timing-dependent plasticity (STDP) is a learning rule that modifies the ...
Increasing evidence indicates that biological neurons process information conveyed by the precise ti...
Axonal conduction delays should not be ignored in simulations of spiking neural networks. Here it is...
Precise spike timing is considered to play a fundamental role in communications and signal processin...
The information of spiking neural networks (SNNs) are propagated between the adjacent biological neu...
Learning rules, such as spike-timing-dependent plasticity (STDP), change the structure of networks o...
Noise and temporal dynamics are ubiquitous in neural systems yet the computational consequences of t...
Learning rules, such as spike-timing-dependent plasticity (STDP), change the structure of networks o...
Transmission delays are an inherent component of spiking neural networks (SNNs) but relatively littl...
The timing of a spike within a specific time period is used to identify a place in space (input term...
Abstract. We explore the effects of spike-timing-dependent plasticity (STDP) on weak signal transmis...
We present a voltage domain implementation of a programmable delay axon circuit together with measur...
Spike-timing-dependent plasticity (STDP) modifies synaptic strengths based on the relative timing of...
We present measurements from an aVLSI programmable axonal propagation delay circuit. It is intended ...
Biological systems are able to recognise temporal sequences of stimuli or compute in the temporal do...
International audienceSpike timing-dependent plasticity (STDP) is a learning rule that modifies the ...
Increasing evidence indicates that biological neurons process information conveyed by the precise ti...
Axonal conduction delays should not be ignored in simulations of spiking neural networks. Here it is...
Precise spike timing is considered to play a fundamental role in communications and signal processin...
The information of spiking neural networks (SNNs) are propagated between the adjacent biological neu...
Learning rules, such as spike-timing-dependent plasticity (STDP), change the structure of networks o...
Noise and temporal dynamics are ubiquitous in neural systems yet the computational consequences of t...
Learning rules, such as spike-timing-dependent plasticity (STDP), change the structure of networks o...
Transmission delays are an inherent component of spiking neural networks (SNNs) but relatively littl...
The timing of a spike within a specific time period is used to identify a place in space (input term...
Abstract. We explore the effects of spike-timing-dependent plasticity (STDP) on weak signal transmis...
We present a voltage domain implementation of a programmable delay axon circuit together with measur...
Spike-timing-dependent plasticity (STDP) modifies synaptic strengths based on the relative timing of...
We present measurements from an aVLSI programmable axonal propagation delay circuit. It is intended ...
Biological systems are able to recognise temporal sequences of stimuli or compute in the temporal do...
International audienceSpike timing-dependent plasticity (STDP) is a learning rule that modifies the ...
Increasing evidence indicates that biological neurons process information conveyed by the precise ti...