We present an implementation of a programmable axonal propagation delay circuit which uses one first-order log-domain low-pass filter. Delays may be programmed in the 5-50ms range. It is designed to be a building block for time-delay spiking neural networks. It consists of a leaky-integrate-and-fire core, a spike generator circuit, and a delay adaptation circuit
Due to the inevitable delay phenomenon in the process of signal conversion and transmission, time de...
We present a neuromorphic spiking neural network, the DELTRON, that can remember and store patterns ...
We present a compact mixed-signal implementation of synaptic plasticity for both Spike Timing Depend...
We present measurements from an aVLSI programmable axonal propagation delay circuit. It is intended ...
We present a voltage domain implementation of a programmable delay axon circuit together with measur...
We present an FPGA implementation of a re-configurable, polychronous spiking neural network with a l...
Axonal delays are used in neural computation to implement faithful models of biological neural syste...
We present a mixed-signal implementation of a re-configurable polychronous spiking neural network ca...
The information of spiking neural networks (SNNs) are propagated between the adjacent biological neu...
We present a mixed-signal implementation of a re-configurable polychronous spiking neural network ca...
Although silicon neurons communicate among each other using fast spikes, neuromorphic architectures ...
We present an analogue VLSI implementation of a polychronous network of spiking neurons. The network...
Sheik S, Chicca E, Indiveri G. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement ...
The object of this thesis is to investigate polychronous spiking neural networks using neuromorphic ...
This thesis describes the design and implementation of two pattern recognition systems on field-prog...
Due to the inevitable delay phenomenon in the process of signal conversion and transmission, time de...
We present a neuromorphic spiking neural network, the DELTRON, that can remember and store patterns ...
We present a compact mixed-signal implementation of synaptic plasticity for both Spike Timing Depend...
We present measurements from an aVLSI programmable axonal propagation delay circuit. It is intended ...
We present a voltage domain implementation of a programmable delay axon circuit together with measur...
We present an FPGA implementation of a re-configurable, polychronous spiking neural network with a l...
Axonal delays are used in neural computation to implement faithful models of biological neural syste...
We present a mixed-signal implementation of a re-configurable polychronous spiking neural network ca...
The information of spiking neural networks (SNNs) are propagated between the adjacent biological neu...
We present a mixed-signal implementation of a re-configurable polychronous spiking neural network ca...
Although silicon neurons communicate among each other using fast spikes, neuromorphic architectures ...
We present an analogue VLSI implementation of a polychronous network of spiking neurons. The network...
Sheik S, Chicca E, Indiveri G. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement ...
The object of this thesis is to investigate polychronous spiking neural networks using neuromorphic ...
This thesis describes the design and implementation of two pattern recognition systems on field-prog...
Due to the inevitable delay phenomenon in the process of signal conversion and transmission, time de...
We present a neuromorphic spiking neural network, the DELTRON, that can remember and store patterns ...
We present a compact mixed-signal implementation of synaptic plasticity for both Spike Timing Depend...