Neurons And Learning


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Olfactory learning promotes input-specific synaptic plasticity in adult ...

Olfactory Learning Promotes Input-specific Synaptic Plasticity In Adult ...

The olfactory bulb (OB) receives newly born neurons through adulthood. This process constitutes another means, in addition to molecular or synaptic changes within individual neurons, by which the OB can make changes to its functional ...The production of new neurons in the olfactory bulb (OB) through adulthood is a major mechanism of structural and functional plasticity underlying learning-induced circuit remodeling. The recruitment of adult-born OB neurons depends not only on sensory ... Sep 4, 2014 ... Conversely, optogenetic stimulation of adult-born neurons has been shown to specifically improve olfactory learning and long-term memory. [ReadMore..]

Bayesian Spiking Neurons II: Learning | Neural Computation | MIT ...

Bayesian Spiking Neurons II: Learning | Neural Computation | MIT ...

Abstract. In the companion letter in this issue (“Bayesian Spiking Neurons I: Inference”), we showed that the dynamics of spiking neurons can be interpreted as a form of Bayesian integration, accumulating evidence over time about events in the external world or the body. We proceed to develop a theory of Bayesian learning in spiking neural networks, where the neurons learn to recognize temporal dynamics of their synaptic inputs. Meanwhile, successive layers of neurons learn hierarchical causal models for the sensory input. The corresponding learning rule is local, spike-time dependent, and highly nonlinear. This approach provides a principled description of spiking and plasticity rules maximizing information transfer, while limiting the number of costly spikes, between successive layers of neurons. We proceed to develop a theory of Bayesian learning in spiking neural networks, where the neurons learn to recognize temporal dynamics of their synaptic ... [ReadMore..]

Mirror Neurons: We Learn Through Human Interaction

Mirror Neurons: We Learn Through Human Interaction

Mirror neurons are neurons that fire in the brain both when observing a behavior or action, and when doing said behavior. Mirror neurons prove that the basis of human comprehension stems from observing, comprehending, and imitating Jul 20, 2018 ... Observing and replicating behavior is the most basic form of learning, but it applies to the way we learn as adults, too. As the second article ... [ReadMore..]

Cerebellospinal Neurons Regulate Motor Performance and Motor ...

Cerebellospinal Neurons Regulate Motor Performance And Motor ...

To understand the neural basis of behavior, it is important to reveal how movements are planned, executed, and refined by networks of neurons distribu… May 12, 2020 ... Contralateral CeS neurons (CeScer-contra) are necessary for skilled locomotor learning. •. CeScer-contra neurons target local and long-range ... [ReadMore..]

Spike-driven threshold-based learning with memristive synapses ...

Spike-driven Threshold-based Learning With Memristive Synapses ...

Jul 30, 2018 ... To achieve these features neuromorphic silicon neuron circuits need to be integrated with plastic synapse circuits capable of on-line learning ... [ReadMore..]

How the Brain Learns - Training Industry

How The Brain Learns - Training Industry

It has only been in the last decade that neuroscience researchers have been able to go inside the brain and observe how learning actually occurs. Jul 20, 2011 ... Neuroscientists have long believed that learning and memory formation are made by the strengthening and weakening of connections among brain ... [ReadMore..]

Dynamics of a recurrent network of spiking neurons before and ...

Dynamics Of A Recurrent Network Of Spiking Neurons Before And ...

(1997). Dynamics of a recurrent network of spiking neurons before and following learning. Network: Computation in Neural Systems: Vol. 8, No. 4, pp. 373-404. ... of integrate-and-fire excitatory and inhibitory neurons in realistic cortical conditions (before and after Hebbian unsupervised learning of uncorre... [ReadMore..]

Machine Learning Optimizes Images for Stimulating Monkey Neurons

Machine Learning Optimizes Images For Stimulating Monkey Neurons

Neural networks generate abstract images designed to activate particular cells, lending insight into their function. May 2, 2019 ... It's a goal of sensory neuroscience to understand exactly which stimuli activate which brain cells. In the primate visual system, certain ... [ReadMore..]

Learning and Survival of Newly Generated Neurons: When Time ...

Learning And Survival Of Newly Generated Neurons: When Time ...

Nov 5, 2008 ... Using a discrimination learning task performed at various times after the birth of new interneurons, we found that olfactory training could ... [ReadMore..]

Single-Trial Learning of Novel Stimuli by Individual Neurons of the ...

Single-Trial Learning Of Novel Stimuli By Individual Neurons Of The ...

The ability to distinguish novel from familiar stimuli allows nervous systems to rapidly encode significant events following even a single exposure to a stimulus. This detection of novelty is necessary for many types of learning. Neurons in the medial temporal lobe (MTL) are critically involved in the acquisition of long-term declarative memories. During a learning task, we recorded from individual MTL neurons in vivo using microwire electrodes implanted in human epilepsy surgery patients. We report here the discovery of two classes of neurons in the hippocampus and amygdala that exhibit single-trial learning: novelty and familiarity detectors, which show a selective increase in firing for new and old stimuli, respectively. Neurons in the medial temporal lobe (MTL) are critically involved in the acquisition of long-term declarative memories. During a learning task, we recorded from ... [ReadMore..]

Deep learning in human neurons predicts mechanistic subtypes of ...

Deep Learning In Human Neurons Predicts Mechanistic Subtypes Of ...

Mar 12, 2022 ... Recent advances in stem cell technology and fluorescent live-cell imaging have enabled the generation of patient-derived neurons with different ... [ReadMore..]