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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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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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Unfortunately was not able to capture video -- just audio. First 22 minutes is lecture recap, remaining time is discussion and working through Homework #6.
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Timestamps: First 30 minutes we discussed the practice exam including questions on independent assortment in meiosis and how different drugs (agonists and antagonists) can affect neurotransmitter…
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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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Photonic and Electronic Devices Section 28 Team Lead: Yun-Jhu Lee Advisor: Prof. Yoo
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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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