Search for tag: "neuromorphic"

In Search of Invariance in Brains and Machines

Abstract: Despite their seemingly impressive performance at image recognition and other perceptual tasks, deep convolutional neural networks are prone to be easily fooled, sensitive to adversarial…

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Functional self-reconfiguration processes in neuronal networks

Abstract: Flexible function is essential for the brain to cope with varying environments, changing quality of sensory information as well as context dependency. This requires organized communication…

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Dr. Aimone: A Probabilistic Future for Neuromorphic Computing

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. Cauwenberghs: Reverse Engineering the Cognitive Brain in Silicon and Memristive Neuromorphic System

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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Prof. Hasler: Physical Neuromorphic Computing

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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Vector Symbolic Architectures

Luis El Srouji leads a discussion on Vector Symbolic Architectures (VSA). VSAs are a mathematical framework in which basis vectors encode some attribute (color, weight, etc) while some binding…

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Professor Olshausen: Neural computations in retina and visual cortex

Professor Olshausen discusses the neural circuits thought to underly signal compression in the retina, and theories of attractor dynamics downstream in cortex that may underly perceptual inference.

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Meeting 6-1-21: Spatial Semantic Pointers and Legendre Memory Units

Professor Chris Eliasmith gave a guest presentation on some mechanisms of encoding information within spiking neural networks. Spatial Semantic Pointers are an extension of the semantic pointer…

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Meeting 5-18-21: Neural Engineering Framework

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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Meeting 4-1-21: Predictive Error-Driven Learning

Professor Randy O'Reilly presented on Predictive Error-Driven Learning in the Brain; this method approximates backpropagation in rate-approximated neural networks and will be soon extended to…

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Meeting-3-11-21: From biology to silicon

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 Meeting: Intro to Neuromorphic computing

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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