A FPGA real-time model of single and multiple visual cortex neurons

作者：Li Guangxing; Talebi Vargha; Yoonessi Ahmad; Baker Curtis L Jr^*

来源：Journal of Neuroscience Methods, 2010, 193(1): 62-66.

DOI：10.1016/j.jneumeth.2010.07.031

• Spiking model
• Visual cortex
• FPGA
• Tetrode
• Cortical neuron
• Simple cell

Using a biologically realistic model of a single neuron can be very beneficial for visual physiologists to test their electrophysiology setups train students in the laboratory or conduct classroom teaching demonstrations Here we present a Field Programmable Gate Array (FPGA) based spiking model of visual cortex neurons which has the ability to simulate three Independent neurons and output analog spike waveform signals in four channels To realistically simulate multi electrode (tetrode) recordings the independently generated spikes of each simulated neuron has a distinct waveform and each channel outputs a differentially weighted sum of these waveforms The model can be easily constructed from a small number of inexpensive commercially available parts and is straightforward to operate In response to sinewave grating stimuli the neurons exhibit biologically realistic simple cell like response properties including highly modulated Poisson spike trains orientation selectivity spatial/temporal frequency selectivity and space time receptive fields Users can customize their model neurons by downloading modifications to the FPGA with varying parameter values particularly desired features or qualitatively different models of the

• 出版日期2010-10-30