Skip navigation

A PENS Neuroscience School.

August 6th - August 31st, 2007

Arcachon, France

Parameshwaran Dhanya
Email dhanyancbs.res.in
Gender Female
Nationality India
Year of birth 1983
Department Neurobiology
University National Centre for Biological Sciences, TIFR
Country (of work) India
Simulation Project Title Can networks of real computing neurons be programmed?
Type of model Compartmental model based network model
Description A network with two inputs, one modulates the firing of output neurons to the other input. CA1 neurons in the hippocampus have this architecture;receives dual inputs through SchafferCollaterals(SC) proximally and TemporoAmmonic Pathway(TA) distally. TA input based on their timing, can either increase or decrease the probability of SC-evoked CA1 spikes. The TA pathway thus acts like a handle, and theoretically, enables us to store and erase desired patterns of information or program the network.
Why complementary Currently, we are using optical recordings to take a parallel readout of the network in the CA1 region invitro, with only SC inputs. But, with TA inputs as a handle, can we write desired synaptic matrices into the network? Does the TA input play the role of a buffer; which can activate/inactivate the response of the CA1 neurons? This will be a logical extension to my project; additionally, I am equipped with an experimental setup to test the model.
Tutor Michelle Lilith


Computational Neuroscience: