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Transfer entropy—a model-free measure of effective connectivity for the neurosciences
TLDR
Transfer entropy (TE) improved the detectability of effective connectivity for non-linear interactions, and for sensor level MEG signals where linear methods are hampered by signal-cross-talk due to volume conduction. Expand
Neural Synchrony in Cortical Networks: History, Concept and Current Status
TLDR
Evidence is presented that indicates that in addition to supporting conscious cognition, neural synchrony is abnormal in major brain disorders, such as schizophrenia and autism spectrum disorders. Expand
SORN: A Self-Organizing Recurrent Neural Network
TLDR
This work introduces SORN, a self-organizing recurrent network that combines three distinct forms of local plasticity to learn spatio-temporal patterns in its input while maintaining its dynamics in a healthy regime suitable for learning. Expand
Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays
TLDR
This work investigates the synchronization properties of a simple network motif and found that, even in the presence of large axonal conduction delays, distant neuronal populations self-organize into lag-free oscillations. Expand
NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events
TLDR
It is demonstrated, on both simulated data and single-unit activity recorded in cat visual cortex, that NeuroXidence discriminates reliably between significant and spurious events that occur by chance. Expand
A new look at gamma? High- (>60 Hz) γ-band activity in cortical networks: function, mechanisms and impairment.
TLDR
It is suggested that high γ-band activity is impaired in neuropsychiatric disorders, such as schizophrenia and epilepsy, through establishing correlations between the modulation of oscillations in the 60-200 Hz frequency and specific cognitive functions. Expand
Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?
TLDR
It is found that cortical networks lack scale-free behavior, but show a small, but significant small-world structure, and assuming a simple distance-dependent probabilistic wiring between neurons, this connectivity structure can account for all of the networks’ observed small- world ness. Expand
Non-parametric significance estimation of joint-spike events by shuffling and resampling
TLDR
A non-parametrical significance test is presented that considers the original spike train structure of experimental data and provides the distribution for coincidences reflecting the null-hypothesis of independence. Expand
Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods
TLDR
A Monte-Carlo-based resampling procedure is suggested and it is demonstrated that the procedure yields an appropriate estimate of the distribution and reliable significance estimation and is able to systematically sample the coincidence counts from all trial combinations. Expand
Forced-choice decision-making in modified trolley dilemma situations: a virtual reality and eye tracking study
TLDR
This study confirmed that moral decisions can be explained within the framework of dual-process theories and shows that pupillometric measurements are a promising tool for investigating affective responses in dilemma situations. Expand
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