Intel Award on Reinforcement Learning

We are working with Intel to develop brain inspired reinforcement learning algorithms for Intel neuromorphic ‘Loihi’ chip. Read more at https://newsroom.intel.com/news/intel-announces-neuromorphic-computing-research-collaborators/

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DARPA L2M Award

Our lab, in collaboration with UCI team, was awarded by DARPA’s Lifelong Learning Machines (L2M) program to develop new brain inspired AL algorithms capable of memory transfer and continual learning without catastrophic forgetting. Please read full press release at https://www.darpa.mil/news-events/2018-05-03

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Postdoctoral position in computational neuroscience and machine learning

Applications are invited for a post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to develop neuroscience inspired machine learning algorithms capable of continual learning and adapting to the novel situations and contexts. This project involves close collaboration with the experimental laboratory of Dr. Bruce McNaughton (UC Irvine). The ultimate goal of the work is to advance the knowledge of how human and animal brains learn from experience and ...

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Postdoctoral position in computational neuroscience: sleep and memory consolidation

Applications are invited for post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study role of sleep in memory and learning. This computational neuroscience project involves close collaboration with several experimental laboratories. The ultimate goal of the work is to understand how sleep rhythms contribute to consolidation of memory for recent learning and how sensory or electrical stimulation during sleep can enchance memory consolidation.

The successful candidate will be responsible ...

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Classification of odorants across layers in locust olfactory pathway. Sanda P, Kee T, Gupta N, Stopfer M, Bazhenov M. J Neurophysiol. 2016 May 1;115(5):2303-16.

Olfactory processing takes place across multiple layers of neurons from the transduction of odorants in the periphery, to odor quality processing, learning, and decision making in higher olfactory structures. In insects, projection neurons (PNs) in the antennal lobe send odor information to the Kenyon cells (KCs) of the mushroom bodies and lateral horn neurons (LHNs). To examine the odor information content in different structures of the insect brain, antennal lobe, mushroom bodies and lateral horn, ...

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Hippocampal CA1 Ripples as Inhibitory Transients. Malerba P, Krishnan GP, Fellous JM, Bazhenov M. PLoS Comput Biol. 2016 Apr 19;12(4):e1004880.

Memories are stored and consolidated as a result of a dialogue between the hippocampus and cortex during sleep. Neurons active during behavior reactivate in both structures during sleep, in conjunction with characteristic brain oscillations that may form the neural substrate of memory consolidation. In the hippocampus, replay occurs within sharp wave-ripples: short bouts of high-frequency activity in area CA1 caused by excitatory activation from area CA3. In this work, we develop a computational model of ripple generation, motivated ...

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Synaptic Mechanisms of Memory Consolidation during Sleep Slow Oscillations. Wei Y, Krishnan GP, Bazhenov M. J Neurosci. 2016 Apr 13;36(15):4231-47.

Sleep is critical for regulation of synaptic efficacy, memories, and learning. However, the underlying mechanisms of how sleep rhythms contribute to consolidating memories acquired during wakefulness remain unclear. Here we studied the role of slow oscillations, 0.2-1 Hz rhythmic transitions between Up and Down states during stage 3/4 sleep, on dynamics of synaptic connectivity in the thalamocortical network model implementing spike-timing-dependent synaptic plasticity. We found that the spatiotemporal pattern of Up-state propagation ...

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