Abstract: A network of integrate-and-fire neurons with reciprocal synaptic connections to the four next neighbors is considered. The input to each neuron is the feature of an imag...
Abstract—We present a silicon neuron that uses shunting inhibition (conductance-based) with a synaptic rise-time to achieve synchrony. Synaptic rise-time promotes synchrony by de...
Abstract—We describe a neuromorphic chip with a twolayer excitatory-inhibitory recurrent network of spiking neurons that exhibits localized clusters of neural activity. Unlike ot...
Abstract. Feedback circuits are important for understanding the emergence of patterns of neural activity. In this contribution we study how a delayed circuit representing a recurre...
Cristina Masoller, M. C. Torrent, Jordi Garc&iacut...
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Da...
—The paper presents a silicon neuron circuit that mimics the behaviour of known classes of biological neurons. The circuit has been designed in a 0.35µm CMOS technology. The fir...
Neurobiologists are collecting large amounts of electron microscopy image data to gain a better understanding of neuron organization in the central nervous system. Image analysis ...
Elizabeth Jurrus, Ross T. Whitaker, Bryan W. Jones...
Chances to detect assembly activity are expected to increase if the spiking activities of large numbers of neurons are recorded simultaneously. Although such massively parallel re...