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Sets of neurons work in sync to track 'time' and 'place,' giving

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Sets of neurons work in sync to track 'time' and 'place,' giving

Two studies led by UCLA researchers offer new insights into the way neurons in the human brain represent time and space – the most basic ingredients of consciousness of human existence and the primary dimensions of experience that allow us to reconstruct the past and envision the future.

Understanding Your Brain to Help You Learn Better · Frontiers for

Understanding Your Brain to Help You Learn Better · Frontiers for

Frontiers  An Integrated World Modeling Theory (IWMT) of

Frontiers An Integrated World Modeling Theory (IWMT) of

LNv and non-LNv clock neurons maintain LNv synchrony. All

LNv and non-LNv clock neurons maintain LNv synchrony. All

Sets of neurons work in sync to track 'time' and 'place,' giving humans  context for past, present and future

Sets of neurons work in sync to track 'time' and 'place,' giving humans context for past, present and future

The Cerebellum's Functions in Cognition, Emotion, and More

The Cerebellum's Functions in Cognition, Emotion, and More

Metronome Neurons Act like Timekeepers in Mouse Brains

Metronome Neurons Act like Timekeepers in Mouse Brains

UCLA Department of Neurosurgery

UCLA Department of Neurosurgery

UCLA Department of Neurosurgery on LinkedIn: MMA Embolization: An Emerging  Treatment Technique for Chronic Subdural…

UCLA Department of Neurosurgery on LinkedIn: MMA Embolization: An Emerging Treatment Technique for Chronic Subdural…

Brain Waves Synchronize when People Interact - Science and

Brain Waves Synchronize when People Interact - Science and

Arduino 101: Pattern Matching on the Intel® Quark™ SE Microcontro

Arduino 101: Pattern Matching on the Intel® Quark™ SE Microcontro

New Tech Assigns More Accurate “Time of Death” to Cells

New Tech Assigns More Accurate “Time of Death” to Cells

Gabriel Kreiman  The Center for Brains, Minds & Machines

Gabriel Kreiman The Center for Brains, Minds & Machines

Hanah Rahman on LinkedIn: r/QC_Applications

Hanah Rahman on LinkedIn: r/QC_Applications

From connectome to effectome: learning the causal interaction map

From connectome to effectome: learning the causal interaction map

Toward a Brain-like Memory with Recurrent Neural Networks

Toward a Brain-like Memory with Recurrent Neural Networks