Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks

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The ability of the brain to produce adaptive and dexterous movements relies on the seamless integration of sensory feedback into motor commands. Despite significant advances in motor neuroscience, critical gaps persist in understanding how proprioceptive a ...

Long-range projections are the structural basis for inter-areal interactions across a cortical hierarchy. These connections are classified based on their laminar termination profiles into feed-forward, when they connect a lower-order to a higher-order area ...

In this commentary, we comment on the closing remarks from Mark Solms at the 2024 International Neuropsychoanalysis conference in light of recent developments in neurosciences around functional neurological disorders (FND). FND is the new term used to desi ...

Magnetic resonance imaging (MRI) is a valuable tool for studying brain structure and function in animal and clinical studies. With the growth of public MRI repositories, access to data has finally become easier. However, filtering large datasets for potent ...

Due to conservation of neuronal functioning across phyla, molecular targets of insecticides are similar in insects and vertebrates. Insecticides thus pose a risk to aquatic vertebrates, such as fish, and potentially cause neurotoxic effects. Although these ...

Neurological disorders such as spinal cord injury (SCI) massively reduce independence and quality of life. Most often, the majority of the nervous system is still fully or partially spared, but dysfunctional due to aberrant or absent descending input from ...

Injuries to the developing brain due to hypoxia-ischemia (HI) are common causes of neurological disabilities in preterm babies. HI, with oxygen deprivation to the brain or reduced cerebral blood perfusion due to birth asphyxia, often leads to severe brain ...

Cortical sensory areas are supposed to encode immediate sensory inputs. In this issue of Neuron, Condylis et al. (2020) show that they can also recall information about a past event when in need of comparing two temporally segregated sensory inputs. ...

Simulations of the electrical activity of networks of morphologically-detailed neuron models allow for a better understanding of the brain. Short time to solution is critical in order to study long biological processes such as synaptic plasticity and learn ...

In this commentary, we join Ward (this issue) in the usefulness of conceptualizing neural output in terms of signal and noise relationships, to create the missing links between neural, behavioral and subjective sensory sensitivity. We draw from our work in ...

Throughout species, including mice and humans, we all have to make decisions to fulfill our fundamentals needs: eat, drink, explore, communicate, reproduce... To make those decisions, we have to collect informations from the surrounding world and to proces ...

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles in peer-reviewed journals. One challenge for modern neuroinformatics is to design methods to make the knowledge from the tremend ...

Understanding the principles involved in visually-based coordinated motor control is one of the most fundamental and most intriguing research problems across a number of areas, including psychology, neuroscience, computer vision and robotics. Not very much ...

Resting-state functional connectivity (FC) is highly variable across the duration of a scan. Groups of coevolving connections, or reproducible patterns of dynamic FC (dFC), have been revealed in fluctuating FC by applying unsupervised learning techniques. ...

Computations in neocortical circuits are predominantly driven by synaptic integration of excitatory glutamatergic and inhibitory GABAergic inputs. New optical, electrophysiological, and genetic methods allow detailed in vivo investigation of the superficia ...

Brain-Computer Interfaces (BCIs) can be extended by other input signals to form a so-called hybrid BCI (hBCI). Such an hBCI allows the processing of several input signals with at least one brain signal for control purposes, i.e. communication and environme ...

Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks

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Reverse engineering primate sensorimotor control with machine learning

Principles of inter-areal interactions in cortical sensory processing

Body and self in functional neurological disorders*

Automated quality control of small animal MR neuroimaging data

Mechanistic Understanding of Neurobehavioral Effects of Insecticides on the Larvae of Zebrafish (Danio rerio)

Electrical spinal cord stimulation protocols to regulate motor and autonomic functions in people with neurological disorders

Dose-Dependent Neuroprotective Effects of Bovine Lactoferrin Following Neonatal Hypoxia-Ischemia in the Immature Rat Brain

Match Making in Sensory Cortex

Asynchronous Simulation of Neuronal Activity

Individual differences in sensory sensitivity: Further lessons from an Autism model

Optical sensory and motor mapping of mouse dorsal cortex

Distinct Activity Profiles of Somatostatin-Expressing Interneurons in the Neocortex

Agile in-litero experiments : how can semi-automated information extraction from neuroscientific literature help neuroscience model building?

Visuomotor Coordination in Reach-To-Grasp Tasks: From Humans to Humanoids and Vice Versa

Disentangling Dynamic Networks: Separated and Joint Expressions of Functional Connectivity Patterns in Time

Synaptic Computation and Sensory Processing in Neocortical Layer 2/3

The hybrid Brain-Computer Interface: a bridge to assistive technology?