Mice modulate their rhythmic whisking behaviour when they encounter objects in order to influence the acquired sensory information from the touched surface. However, how the motor commands are selected and what mechanism ...

Currently, there is no agreement about how conceptual knowledge is represented in the brain. Studies on semantic dementia suggest that the anterior temporal lobe (ATL) functions as the semantic hub, combining information ...

In sensory neuroscience the tracking of behavior and sensory input allows quantitative analysis of the information that the brain utilizes to generate the internal percept of the stimulus in the periphery. So far behavioral ...

An important issue in neural network research is how to choose the number of nodes and layers such as to solve a classification problem. We provide new intuitions based on earlier results by An et al. (2015) by deriving an ...

Visual object recognition is achieved by the brain’s visual ventral stream. For the purpose of mapping the increasingly complex receptive fields along the hierarchically organized ventral pathway, new DNN analysis techniques ...

Neuroimaging techniques reveal the human brain exhibiting a great repertoire of activity patterns—not only while perceiving external stimuli or acting in an experimental paradigm, but also at times of rest. In connectomic ...

In recent years, deep neural networks (DNNs) have come to dominate varied domains in the field of machine learning. Particularly novel are accomplishments in deep reinforcement learning and the successes of DNNs as feature ...

Humans are able to learn from the environment and show a wide range of adaptive behaviors to solve the task at hand. They learn by trial and error. While reinforcement learning allows for artificial agents to learn via ...