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Explore the fundamentals of perception and coding of sensory stimuli through neural activity representations. The ROSANA project focuses on interactions of sensory inputs, CNS neuron activity, and replicating spatiotemporal patterns. Conducting experiments on the Lemniscal somatosensory system, the project utilizes electrophysiology, microelectrode implants, and mathematical models to understand neural responses. Developing microstimulators and recording techniques, the project aims to address challenges in interfacing artificial sensors with sensory nerves. Join us on this journey to uncover the secrets of neural perception.
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RepresentationOfStimuliAsNeuralActivity ROSANA Project UCM-UAM-FrI-UPo-UEs
“Perception”⇩“Internal Representation” of the external world Understand the fundaments of perception Determine the principles of coding of sensory stimuli Interactions sensory inputs - activity of CNS neurons we will be able to reproduce the same spatiotemporal pattern of activity
Lemniscal somatosensory system 500.000 10.000
State of the project (started May 2002) • We set-up a complete electrophysiology lab • We implanted sieve microelectrodes in the peripheral nerve of rats and cats • We obtainedfunctionalregeneration of the sensory nerves • We recorded the electrical activity of the regenerated nerves • We recorded electrical activity simultaneously from the regenerated nerve • and from neurons in the CNS • We developed mathematical and computational models of oscillating neurons • We deveoped specific microstimulators to control the stimulation • We are developing new microstimulators to control the stimulation • We are developing new mathematical and computational models • We are developing new microelectrodes • We are setting-up the 140 simultaneous recording procedure • We are setting-up the new data analysis techniques
D Glomeruli PROJECTION NEURONS R C DENDRITES V Gr Cu
-60 7,5 HZ -30 -64 2 s Amplitud (mV) -50 -68 -70 40 0 Amplitud (mV) -30 -40 Azar 6,0 Hz Amplitud (mV) -30 -80 -50 0 20 40 s 0 10 20 30 -50 -70 -70 s 0 10000 20000 30000
Problems to be solved • If artificial sensors are to be directly connected to the nerve(s), only a very low number of fibers can be interfaced • Interfacing of artificial sensors to a sensory nerve will submit to each axon information concerning different sensory submodalities in an entirely unpredictable fashion