NDLI: Synchrony in Silicon: The Gamma Rhythm

Content Provider	IEEE Xplore Digital Library
Author	Arthur, J.V. Boahen, K.A.
Copyright Year	1990
Abstract	In this paper, we present a network of silicon in-terneurons that synchronize in the gamma frequency range (20-80 Hz). The gamma rhythm strongly influences neuronal spike timing within many brain regions, potentially playing a crucial role in computation. Yet it has largely been ignored in neuromorphic systems, which use mixed analog and digital circuits to model neurobiology in silicon. Our neurons synchronize by using shunting inhibition (conductance based) with a synaptic rise time. Synaptic rise time promotes synchrony by delaying the effect of inhibition, providing an opportune period for interneu-rons to spike together. Shunting inhibition, through its voltage dependence, inhibits interneurons that spike out of phase more strongly (delaying the spike further), pushing them into phase (in the next cycle). We characterize the interneuron, which consists of soma (cell body) and synapse circuits, fabricated in a 0.25- mum complementary metal-oxide-semiconductor (CMOS). Further, we show that synchronized interneurons (population of 256) spike with a period that is proportional to the synaptic rise time. We use these interneurons to entrain model excitatory principal neurons and to implement a form of object binding.
Sponsorship	IEEE Computational Intelligence Society
Page Count	11
File Size	1630590
Starting Page	1815
Ending Page	1825
File Format	PDF
ISSN	10459227
Volume Number	18
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Silicon Rhythm Frequency synchronization Neurons Timing Neuromorphics Digital circuits Delay effects Voltage Semiconductor device modeling synaptic rise time Binding conductance-based neuron circuit delay model of synchrony inhibitory interneuron neuromorphic engineering shunting inhibition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Computer Science Applications Software

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