How the brain flexibly engages different networks of regions to perform different cognitive processes remains unknown. Here, the authors show changing the geometry of a neural representation to align ...

Multimodal results (iEEG, fMRI and MEG) of predictions from integrated information theory and global neuronal workspace theory align with some predictions of both theories on visual consciou...

In this study, three individuals with tetraplegia designed vivid, reliable and object-appropriate sensations with a variety of tactile characteristics using self-selected stimulus parameters that stim...

Information processing is energetically expensive. In the mammalian brain, it is unclear how information coding and energy use are regulated during food scarcity. Using whole-cell recordings and two-p...

Memory formation requires neural activity reorganization during experience that persists in sleep. How these processes promote learning while preserving established memories remains unclear. We record...

Understanding how the brain reflects and shapes mood requires resolving the disconnect between behavioral measures of mood that can only be made in humans (typically based on subjective reports of hap...

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A long-standing debate in neuroscience concerns whether individual neurons are organized into functionally distinct populations that encode information differently ("categorical" representations) and ...

Discover how brain dynamics and symmetry shape cognition, neural networks, and structured experience through mathematical modeling and information compression.

Startup Canaery is partnering with a US Department of Energy lab to develop neural implants for rats and dogs that are capable of decoding what they smell.

A challenge in psychiatric drug discovery is to predict the therapeutic potential of a novel compound. Here, the authors show that brain-wide imaging of immediate early gene expression can be used to ...

5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT) is a psychedelic drug known for its uniquely profound effects on subjective experience, reliably eradicating the perception of time, space, and the self. H...

Biological neural networks exhibit synchronized activity within and across interconnected regions of

A human neural organoid cell atlas integrating 36 single-cell transcriptomic datasets shows cell types and states and estimates transcriptomic similarity between primary and organoid counterparts, sho...

Formation of biocompatible conductive structures in vivo through photopolymerization, enabling structural control of electrode patterns. Abstract Bioelectronics holds great potential as therapeutics, but introducing conductive structures within the body poses great challenges. While implanted rigid and substrate-bound electrodes often result in inflammation and scarring in vivo, they outperform the in situ-formed, more biocompatible electrodes by providing superior control over electrode geometry. For example, one of the most researched methodologies, the formation of conductive polymers through enzymatic catalysis in vivo, is governed by diffusion control due to the slow kinetics, with curing times that span several hours to days. Herein, the discovery of the formation of biocompatible conductive structures through photopolymerization in vivo, enabling spatial control of electrode patterns is reported. The process involves photopolymerizing novel photoactive monomers, 3Es (EDOT-trimers) alone and in a mixture to cure the poly(3, 4-ethylenedioxythiophene)butoxy-1-sulfonate (PEDOT-S) derivative A5, resulting in conductive structures defined by photolithography masks. These reactions are adapted to in vivo conditions using green and red lights, with short curing times of 5–30 min. In contrast to the basic electrode structures formed through other in situ methods, the formation of specific and layered patterns is shown. This opens up the creation of more complex 3D layers-on-layer circuits in vivo.