This paper describes the open-source platform Visiomode designed to facilitate development of rodent visually-directed behavioral tasks. Visiomode can be used to build both simple stimulus-response and more complex reaching-based visual discrimination tasks.
In vivo patch-clamp recording techniques provide access to the sub- and suprathreshold membrane potential dynamics of individual neurons during behavior. However, maintaining recording stability throughout behavior remains a significant challenge. Here we describe a low cost, easily implementable solution for increasing intracellular recording stability in vivo.
This study shows that motor cortex output largely reflects movement-invariant signaling, with movement-type information routed through small subpopulations of projection neurons. Action-type information is first decoded in intratelencephalic-type neurons during movement preparation then in pyramidal tract-type neurons during execution.
Several theories suggest that the cerebellum is involved in movement initiation. In this study we provide evidence to suggest that activity along the dentate/interpositus cerebellar thalamocortical pathway triggers voluntary forelimb movement in a behavioral context-dependent manner.
Knowledge of synaptic input is crucial for understanding synaptic integration and neural function. In vivo, synaptic input rates are extremely high, so that it is typically impossible to detect single events. In this study we describe a method to infer synaptic input properties from high-resolution voltage-clamp recordings in vivo.
Feedforward excitatory and inhibitory circuits regulate cerebellar output. By combining dendritic/somatic patch-clamp recordings & optogenetics we show that finely balanced Purkinje cell dendritic excitation/inhibition shapes cerebellar output during self-paced locomotion.
Neuronal activity in motor cortex (M1) correlates with behavioral state, but the cellular mechanisms underpinning behavioral state-dependent modulation of M1 output remains unknown. In this study we describe a mechanism for how noradrenergic neuromodulation and network-driven input changes bidirectionally modulate motor cortex output during self-paced, voluntary movement.