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    <a href="#abstract">abstract</a>
    &bull;
    <a href="#speaker">the speaker</a>
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    <a href="poster.pdf">poster</a>
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<br>
Seminar On

<br>

<strong>
 Temporal Spike Pattern Learning in Biological Systems
</strong>

<br>

by

<br>

<b>
 Sachin S. Talathi
</b>

<br>

<small>
 <a href="http://www.bme.ufl.edu/">Biomedical Engineering Department</a>,
 <a href="http://www.ufl.edu/">University of Florida</a>, Gainsville, US
</small>

<br><br>

Thursday, 20 November 2008, 2:00&ndash;3:00 PM
<br>
Seminar Hall,
<a href="http://physics.(none)">Department of Physics</a>

<br><br>

<a name="abstract"></a>
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  <b>Abstract</b>
The central question will be focused around design and implementation of 
neuronal circuitry involved in the task of decoding sensory information.
Sensory information is encoded in the form of sequence of action potential
spikes by 
peripheral nervous system and passed onto central nervous system. The
action potential spikes are  identical in shape and therefore it is 
assumed that all the information about environment is embedded in the 
timing of occurrences of these spikes. The  question then is what neural 
architecture exists in central nervous system to decode this information?
The speaker will present a novel neural architecture designed specifically 
for task of temporal spike pattern recognition. He will also give a
general introduction to the field and will discuss the importance of 
mathematical modeling of neuroscience.
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<a name="speaker"></a>
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  <b>The Speaker</b>
  <i>
Dr. Sachin S. Talathi, an IIT-Bombay B.Tech, has done his Ph.D from University 
of California, San Diego with Prof. Henry Aberbanel and a Post-Doc with 
Prof. W. L. Ditto at University of Florida. His work profile 
comprises experimental neuroscience as well as realistic simulations.
  </i>
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