[tt] [Comp-neuro] Transistor analogs of emergent iono-neuronal dynamics

[Eugen Leitl]

----- Forwarded message from Chi-Sang Poon <cpoon at MIT.EDU> -----

From: Chi-Sang Poon <cpoon at MIT.EDU>
Date: Sun, 20 Apr 2008 18:59:50 -0400
To: comp-neuro at neuroinf.org
Subject: [Comp-neuro] Transistor analogs of emergent iono-neuronal dynamics
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   *Apologies for multiple postings*


   Guy Rachmuth and Chi-Sang Poon. Transistor analogs of emergent
   iono-neuronal dynamics. HFSP Journal (in press)


   Epub 2008 April 18:
   <[1]http://scitation.aip.org/dbt/dbt.jsp?KEY=HFSPJX&Volume=LASTVOL&Iss
   ue=LASTISS>

   Reprint request: [2]cpoon at mit.edu


   ABSTRACT

   Neuromorphic analog metal-oxide-silicon (MOS) transistor circuits
   promise compact, low-power, and high-speed emulations of iono-neuronal
   dynamics orders-of-magnitude faster than digital simulation. However,
   their inherently limited input voltage dynamic range vs power
   consumption and silicon die area tradeoffs makes them highly sensitive
   to transistor mismatch due to fabrication inaccuracy, device noise,
   and other nonidealities. This limitation precludes robust analog
   very-large-scale-integration (aVLSI) circuits implementation of
   emergent iono-neuronal dynamics computations beyond simple spiking
   with limited ion channel dynamics. Here we present versatile
   neuromorphic analog building-block circuits that afford near-maximum
   voltage dynamic range operating within the low-power MOS transistor
   weak-inversion regime which is ideal for aVLSI implementation or
   implantable biomimetic device applications. The fabricated microchip
   allowed robust realization of dynamic iono-neuronal computations such
   as coincidence detection of presynaptic spikes or pre- and
   postsynaptic activities. As a critical performance benchmark, the
   high-speed and highly interactive iono-neuronal simulation capability
   on-chip enabled our prompt discovery of a minimal model of chaotic
   pacemaker bursting, an emergent iono-neuronal behavior of fundamental
   biological significance which has hitherto defied experimental testing
   or computational exploration via conventional digital or analog
   simulations. These compact and power-efficient transistor analogs of
   emergent iono-neuronal dynamics open new avenues for next-generation
   neuromorphic, neuroprosthetic, and brain-machine interface
   applications. ©2008 HFSP Publishing

References

   1. http://scitation.aip.org/dbt/dbt.jsp?KEY=HFSPJX&Volume=LASTVOL&Issue=LASTISS
   2. mailto:cpoon at mit.edu

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Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
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