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.
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.
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.
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.
