The following post-conference workshop will be held on August 9, Friday, 2013 at the IJCNN 2013 in Dallas, Texas. One might be able to register for this workshop separately. Please check the IJCNN website. Anyone interested in this workshop can contact us.
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"Perception and cognition in the brain – integrating single cell recordings, spiking neurons and a brain theory"
IJCNN 2013, Dallas, Texas, Aug 9, 2013
Sponsors – 1. Autonomous Machine Learning (AML) Section of INNS (International Neural Network Society)
2. Spiking Neural Network SIG of INNS
Presenters:
Narayan Srinivasa, HRL Laboratories, USA (http://www.frontiersin.org/people/NarayanSrinivasa/63753/profile )
Moran Cerf, New York University, USA (http://www.morancerf.com/cv.php)
Asim Roy, Arizona State University, USA (http://lifeboat.com/ex/bios.asim.roy)
Abstract:
Even after decades of research, the mechanisms by which perception and cognition arise in the brain have been elusive to us. This workshop will present research in three separate but related areas to get a better understanding of these mechanisms in the brain. We will first review and summarize the findings of over four decades of research on single cell recordings of the brain, both in animals and humans, to provide a better understanding of how the internal mechanisms of the brain work. This will also cover some recent recordings from the medial temporal lobe region of the human brain that relate to higher level perception and cognition. Second, we will review the relevance of spike coding and provide examples of spiking neural network models and related neuromorphic technology that are under development. Some of the next generation of robots will be built using such neuromorphic chips that implement some of these ideas. Third, we will review a new brain theory that postulates that localist representation, instead of a distributed one, and grandmother cells are used widely in the brain. This theory is based on substantial neurophysiological evidence and shows the pathway to perception and cognition in the brain. In fact, the most efficient and easily accessible form of semantic cognition could be built with grandmother cells. We will try to integrate these research findings for a better understanding of the processes within the brain.
After these presentations, we will have open discussions about research and collaboration to build the next generation of robots that possess the skills of perception and cognition.
Some references:
A. Narayan Srinivasa's work on spiking neurons
1. Corey M. Thibeault, Kirill Minkovich, Michael J. O'Brien, Frederick C. Harris and Narayan Srinivasa
Efficiently passing messages in distributed spiking neural network simulation
2. Karl Dockendorf and Narayan Srinivasa
Learning and prospective recall of noisy spike pattern episodes
3. Corey M. Thibeault and Narayan Srinivasa
Using a hybrid neuron in physiologically inspired models of the basal ganglia
B. Moran Cerf's work on single cell recordings
1. Moran Cerf, Nikhil Thiruvengadam, Florian Mormann, Alexander Kraskov, Rodrigo Quian Quiroga, Christof Koch & Itzhak Fried
On-line, voluntary control of human temporal lobe neurons
2. Florian Mormann, Julien Dubois, Simon Kornblith, Milica Milosavljevic, Moran Cerf, Matias Ison, Naotsugu Tsuchiya, Alexander Kraskov, Rodrigo Quian Quiroga, Ralph Adolphs, Itzhak Fried & Christof Koch
A category-specific response to animals in the right human amygdala
C. Asim Roy's work on brain theories
1. Asim Roy: A theory of the brain: localist representation is used widely in the brain
2. Asim Roy: An extension of the localist representation theory: grandmother cells are also widely used in the brain
3. Asim Roy: Connectionism, controllers and a brain theory
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