Transfer entropy—a model-free measure of effective connectivity for the neurosciences
- Raul Vicente, M. Wibral, Michael Lindner, G. Pipa
- BiologyJournal of Computational Neuroscience
- 13 August 2010
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.
Neural Synchrony in Cortical Networks: History, Concept and Current Status
- P. Uhlhaas, G. Pipa, W. Singer
- PsychologyFrontiers in Integrative Neuroscience
- 20 March 2009
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.
SORN: A Self-Organizing Recurrent Neural Network
- Andreea Lazar, G. Pipa, J. Triesch
- Computer Science, BiologyFrontiers in Computational Neuroscience
- 4 August 2009
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.
NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events
- G. Pipa, D. W. Wheeler, W. Singer, D. Nikolić
- Computer ScienceBMC Neuroscience
- 26 January 2008
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.
A new look at gamma? High- (>60 Hz) γ-band activity in cortical networks: function, mechanisms and impairment.
- P. Uhlhaas, G. Pipa, S. Neuenschwander, M. Wibral, W. Singer
- Biology, PsychologyProgress in Biophysics and Molecular Biology
- 1 March 2011
Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays
- Raul Vicente, Leonardo L. Gollo, C. Mirasso, Ingo Fischer, G. Pipa
- BiologyProceedings of the National Academy of Sciences
- 4 November 2008
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.
Fading memory and time series prediction in recurrent networks with different forms of plasticity
- Andreea Lazar, G. Pipa, J. Triesch
- Materials ScienceNeural Networks
- 1 April 2007
Forced-choice decision-making in modified trolley dilemma situations: a virtual reality and eye tracking study
- Alexander Skulmowski, Andreas Bunge, Kai Kaspar, G. Pipa
- PsychologyFrontiers in Behavioral Neuroscience
- 16 December 2014
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.
Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?
- Felipe Gerhard, G. Pipa, B. Lima, S. Neuenschwander, W. Gerstner
- Computer ScienceFrontiers in Computational Neuroscience
- 7 January 2011
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.
Assessing coupling dynamics from an ensemble of time series
- G. Gómez-Herrero, Wei Wu, K. Rutanen, M. C. Soriano, G. Pipa, Raul Vicente
- Computer ScienceEntropy
- 3 August 2010
This work gear a data-efficient estimator of probability densities to make use of the full structure of trial-based measures and obtains time-resolved estimates for a family of entropy combinations (including mutual information, transfer entropy and their conditional counterparts), which are more accurate than the simple average of individual estimates over trials.
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