Building on simple unsupervised matrix factorization techniques, the seqNMF algorithm successfully recovers neural sequences in a wide range of simulated and real datasets.
The Real-Time Experimental Control with Graphical User Interface (REC-GUI) framework can facilitate cutting-edge neuroscience research by providing precise experimental control using high-level programming environments familiar to many experimentalists.
Neural ensemble activity in the human motor cortex contains dynamical structure that is independent of movement parameters and is not well-explained by current models.
Biologically plausible changes in the excitabilities of single neurons may suffice to selectively modulate sequential network dynamics, without modifying of recurrent connectivity.
Human Neocortical Neurosolver is a new user-friendly software tool for researchers to develop and test hypotheses on cellular/circuit origins of human MEG/EEG signals using a biophysical model.
Locally recorded calcium events related to slow wave activity show a global cortical fMRI BOLD correlate, establishing a direct relation between a basic neurophysiological signal and the macroscopic perspective of pre-clinical fMRI.
The human brain is capable of implementing inverse reinforcement learning, where an observer infers the hidden reward structure of a decision problem solely through observing another individual take actions.
A novel statistical algorithm for mining high-dimensional spike train (count) data for significant spatio-temporal patterns reveals new insights into task and brain area dependent functional organization of neural activity.
