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Abstract: As Moore’s
Law comes to a close, new innovative approaches to microelectronics research
are important to achieve much needed capabilities improvements in computing for
both…
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Prof. Cawenberghs presents neuromorphic cognitive computing systems-on-chip implemented in custom silicon compute-in-memory neural and memristive synaptic crossbar array architectures that combine…
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"Evolution and Mechanism of Brain Pathways for Vocal Learning and Spoken Language" by Erich Jarvis, Rockefeller University
Erich Jarvis, Ph.D. – Using innovative research techniques…
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Presentation (until minute 50:48), followed by Q&A and informal discussion. CAMPOS Research Colloquium -- Theanne Griffith, Assistant Professor, Department of Physiology and Membrane Biology…
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As transistor scaling trends in VLSI and von Neumann computing begin to slow down, many look to distributed computing techniques as an avenue for further improvements in computing capacity.…
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Discussion of analog CMOS computation and parallels to biological neurons. Prof. Hasler points out that the exponential voltage controls found in MOS devices can be used to more accurately model…
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Algorithmic Frameworks for Neuromorphic Computing: Neural Engineering Framework (NEF) Luis El Srouji gives an overview and explanation of the Neural Engineering Framework which can calculate weight…
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Mehmet Berkay leads a discussion on the potential biological basis for backpropagation and a justification for its uses in spiking neural networks.
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A review of basic neurobiology followed by a discussion on the capabilities of IBM's TrueNorth and Intel's Loihi neuromorphic chips.
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First club meeting; a brief overview of neuromorphic computing in comparison to both biological brains and Von Neumann computers. A short discussion of ABR's Nengo library and Intel's Loihi…
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"Understanding Brain Cell Communication--from a biochemistry perspective."
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