Cell-type- and activity-dependent extracellular correlates of intracellular spiking

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Regulation of melanin-based pigmentation is complex, involving multiple genes. Because different genes can contribute to the same pigmentation phenotype, the genes identified in model organisms may not necessarily apply to wild species. In the barn owl (Ty ...

As the demand for high channel counts and high-resolution recordings of neural activity continues to grow, the increased power and data rate generated impose hard constraints on the telemetry capabilities of wireless implantable neural interfaces. To addre ...

Human motor skill acquisition is improved by performance feedback, and coupling such feedback with extrinsic reward (such as money) can enhance skill learning. However, the neurophysiology underlying such behavioral effect is unclear. To bridge this gap, w ...

Our sense of agency, the subjective experience of controlling our actions, is a crucial component of self-awareness and motor control. It is thought to originate from the comparison between intentions and actions across broad cortical networks. However, th ...

Subcortical brain structures such as the basal ganglia or the thalamus are involved in regulating motor and cognitive behavior. However, their contribution to perceptual consciousness is still unclear, due to the inherent difficulties of recording subcorti ...

In computational neuroscience, multicompartment models are among the most biophysically realistic representations of single neurons. Constructing such models usually involves the use of the patch-clamp technique to record somatic voltage signals under diff ...

Information is transmitted between brain regions through the release of neurotransmitters from long-range projecting axons. Understanding how the activity of such long-range connections contributes to behavior requires efficient methods for reversibly mani ...

The lateral amygdala (LA) encodes fear memories by potentiating sensory inputs associated with threats and, in the process, recruits 10-30% of its neurons per fear memory engram. However, how the local network within the LA processes this information and w ...

The decline of motor ability is a hallmark feature of aging and is accompanied by degeneration of motor synaptic terminals. Consistent with this, Drosophila motor synapses undergo characteristic age -dependent structural fragmentation co -incident with dim ...

In humans and animals, surprise is a physiological reaction to an unexpected event, but how surprise can be linked to plausible models of neuronal activity is an open problem. We propose a self-supervised spiking neural network model where a surprise signa ...

Neuroprostheses have been used clinically for decades, to help restore or preserve brain functions, when pharmaceutical treatments are inefficient. Although great progress in the field has been made over the years to interface with the nervous system, surf ...

The present invention concerns a bodily implantable or probe device and microelectrode fabrication method comprising providing at least one silicon substrate including an electronic device or unit; providing, on a first side of the silicon substrate, at le ...

Voltage-gated ion channels (VGICs) are integral membrane proteins crucial for transmitting electrical signals in excitable cells. Understanding the kinetics of these ion channels requires conducting patch-clamp experiments using genetically modified cell l ...

Neural decoding of the visual system is a subject of research interest, both to understand how the visual system works and to be able to use this knowledge in areas, such as computer vision or brain-computer interfaces. Spike-based decoding is often used, ...

Proprioception tells the brain the state of the body based on distributed sensors in the body. However, the principles that govern proprioceptive processing from those distributed sensors are poorly understood. Here, we employ a task-driven neural network ...

Electrical stimulation of the visual nervous system could improve the quality of life of patients affected by acquired blindness by restoring some visual sensations, but requires careful optimization of stimulation parameters to produce useful perceptions. ...

Epilepsy, a major neurological disease, requires careful diagnosis and treatment. However, the detection of epileptic seizures remains a significant challenge. Current clinical practice relies on expert analysis of EEG signals, a process that is time-consu ...

This thesis presents an extensive exploration of neuroelectronic interfaces, focusing on microfabrication, in silico modeling, and their applications in designing and fabricating devices for neural interfacing. The research encompasses both peripheral nerv ...

Reinforcement feedback can improve motor learning, but the underlying brain mechanisms remain underexplored. In particular, the causal contribution of specific patterns of oscillatory activity within the human striatum is unknown. To address this question, ...

Traditionally, studies in schizophrenia research employ a single experimental paradigm. The results typically demonstrate a significant difference between patients and controls. Subsequent studies aim to describe the underlying abnormal mechanism at the ge ...

Cell-type- and activity-dependent extracellular correlates of intracellular spiking

Chat with Graph Search

Melanin and Neurotransmitter Signalling Genes Are Differentially Co-Expressed in Growing Feathers of White and Rufous Barn Owls

A Reconfigurable High-Dynamic Range ∆Σ Front-End with Event-Based Decimation for Bandwidth-Efficient Implantable Neural Interfaces

Effect of Extrinsic Reward on Motor Plasticity during Skill Learning

Pre-movement sensorimotor oscillations shape the sense of agency by gating cortical connectivity

Subcortical correlates of consciousness with human single neuron recordings

A multi-modal fitting approach to construct single-neuron models with patch clamp and high-density microelectrode arrays

A bistable inhibitory optoGPCR for multiplexed optogenetic control of neural circuits

Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala

Trio preserves motor synapses and prolongs motor ability during aging

Fast adaptation to rule switching using neuronal surprise

Unraveling behavior and cortical signals to guide the development of soft neuroprostheses for auditory restoration and spreading depolarization

Bodily implant microelectrode and bodily implant microelectrode fabrication method

Ready-to-Record Cells for Kinetic Screening of VGICs

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Modeling, fabrication and validation of 3D neural interfaces for peripheral nerves and brain organoids

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

Variability is the rule: Neurophysiology and contextual visual processing in schizophrenia