Neural Activations: Threshold Gating's Big Reveal
Threshold Gating could revolutionize neural networks, promising performance boosts and efficiency without retraining, challenging traditional activation methods.
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NeuEdge: A Neuromorphic Computing Framework for Energy-Efficient Edge AI with Adaptive Spiking Neural Networks
Edge AI applications increasingly require ultra-low-power, low-latency inference. Neuromorphic computing based on event-driven spiking neura
Wider Neural Networks with Fewer Parameters Improve Performance by Reducing Feature Interference
This work demonstrates how increasing the number of neurons in a network without increasing its total number of non-zero parameters improves
Neuroscientist challenges decades-old model of how vision and thinking work in the brain
The circuitry underlying the brain’s remarkable efficiency is coming into sharper focus.
Neuroscientist challenges decades-old model of how vision and thinking work in the brain
The circuitry underlying the brain’s remarkable efficiency is coming into sharper focus.
Emergent Hebbian Dynamics in Regularized Learning: A Theoretical Analysis
Hebbian and anti-Hebbian plasticity are widely observed in the brain and are classically modeled as mechanistic, local homosynaptic rules st
NEvo: Neural-Guided Evolutionary Video Synthesis
am i missing something or is there actually no validation that this is actually driving neural activation as predicted? there is no actual i
NEvo: Neural-Guided Evolutionary Video Synthesis
am i missing something or is there actually no validation that this is actually driving neural activation as predicted? there is no actual i
The Significance of Generalization in AI Systems and the Quest for Consciousness
This blog post outlines a key engineering principle I’ve come to believe strongly in for building general AI systems with deep learning. Thi

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