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To maximize the parallelism of the input event streams, an additional pipeline stage was added per row in the 2 k-neuron cores. This two-tier micro-pipeline scheme designed using the asynchronous ...

A neural code based on sequences of spikes can consume a significant portion of the brain's energy budget. Thus, energy considerations would dictate that spiking activity be kept as low as possible.

In BMI, point process filters model directly on spike timings to extract underlying states such as motion intents from observed multi-neuron spike trains. However, these methods assume the encoded ...

Leaky Integrate-and-Fire (LIF) /models/neuron/lif.py LIF Wu et al., 2019 Recurrent Integrate-and-Fire (RLIF) /models/neuron/lif.py RLIF Non-Spiking Integrate-and-Fire ...

The study presents a useful computational analysis of how the ratio between excitatory and inhibitory neural numbers affects coding capacity. The authors show that increasing the proportion of ...

This artificial neuron could boost high-speed computing ... for a short time after each spike, they cannot respond to new inputs. This brief reset period puts a speed limit on computations ...