Compact silicon neuron circuit with spiking and bursting behaviour
نویسندگان
چکیده
A silicon neuron circuit that produces spiking and bursting firing patterns, with biologically plausible spike shape, is presented. The circuit mimics the behaviour of known classes of cortical neurons: regular spiking (RS), fast spiking (FS), chattering (CH) and intrinsic bursting (IB). The paper describes the operation of the circuit, provides simulation results, a simplified analytical model, and a phase-plane analysis of its behaviour. The functionality of the circuit has been verified experimentally. The paper introduces a proof-of-concept analogue integrated circuit, implemented in a 0.35 microm CMOS technology, and presents preliminary measurement results. The neuron cell provides an area and energy efficient implementation of the silicon cortical neuron, and could be used as a universal neuron circuit in VLSI neuromorphic networks that closely resemble the circuits of the cortex.
منابع مشابه
An FPGA-based cortical and thalamic silicon neuronal network
A DSSN model is a neuron model which is designed to be implemented efficiently by digital arithmetic circuit. In our previous study, we expanded this model to support the neuronal activities of several cortical and thalamic neurons; Regular spiking, fast spiking, intrinsically bursting and low-threshold spike. In this paper, we report our implementation of this expanded DSSN model and a kinetic...
متن کاملA memristive spiking neuron with firing rate coding
Perception, decisions, and sensations are all encoded into trains of action potentials in the brain. The relation between stimulus strength and all-or-nothing spiking of neurons is widely believed to be the basis of this coding. This initiated the development of spiking neuron models; one of today's most powerful conceptual tool for the analysis and emulation of neural dynamics. The success of ...
متن کاملTunable Neuromimetic Integrated System for Emulating Cortical Neuron Models
Nowadays, many software solutions are currently available for simulating neuron models. Less conventional than software-based systems, hardware-based solutions generally combine digital and analog forms of computation. In previous work, we designed several neuromimetic chips, including the Galway chip that we used for this paper. These silicon neurons are based on the Hodgkin-Huxley formalism a...
متن کاملDigital Spiking Silicon Neuron: Concept and Behaviors in GJ-coupled Network
Silicon neuron is electrical circuit that is analogous to biological neurons. Most spiking silicon neurons comprise analog circuit technology. We propose a new concept of spiking silicon neuron that is composed of only digital circuit technology. The system equations were designed by a mathematical-model-based design method that we proposed for analog silicon neurons in previous works. This all...
متن کاملBuilding blocks for electronic spiking neural networks
We present an electronic circuit modelling the spike generation process in the biological neuron. This simple circuit is capable of simulating the spiking behaviour of several different types of biological neurons. At the same time, the circuit is small so that many neurons can be implemented on a single silicon chip. This is important, as neural computation obtains its power not from a single ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Neural networks : the official journal of the International Neural Network Society
دوره 21 2-3 شماره
صفحات -
تاریخ انتشار 2008