ELSC Seminar Series

Can Physics assist with key challenges in Neuroscience and Artificial Intelligence? Let us swim against the stream when scientific evidence tells you something is wrong. 

Century-old assumptions regarding neurons and brain learning are disproved.  We present several types of experiments, indicating that each neuron functions as a collection of independent threshold units, where the neuron is anisotropically activated. In addition, experimental and theoretical results reveal a new underlying non-local mechanism for the fast brain learning process, dendritic learning, as opposed to learning which is based solely on slow synaptic plasticity. We demonstrate that a single neuron can realize deep learning algorithms and propose efficient shallow learning as an alternative to deep learning. Though the brain is a very slow machine, its capabilities exceed typical state-of-the-art ultrafast artificial intelligence algorithms; hence, a revolution in deep learning must emerge.