Publications

[Extracted from DiVA, the publication database at KTH.]

Tauffer, L.; Kumar, A. (2021):
Short-Term Synaptic Plasticity Makes Neurons Sensitive to the Distribution of Presynaptic Population Firing Rates.
eNeuro 8: [Details]
Lehr, A.; Kumar, A.; Tetzlaff, C.; Hafting, T.; Fyhn, M.; Stober, T. (2021):
CA2 beyond social memory - Evidence for a fundamental role in hippocampal information processing.
Neuroscience and Biobehavioral Reviews 126: 398-412 [Details]
Manferlotti, E.; Vissani, M.; Mazzoni, A.; Kumar, A. (2021):
Correlated inputs to striatal population drive subthalamic nucleus hyper-synchronization.
[Conference paper] 10th International IEEE-EMBS Conference on Neural Engineering (NER), MAY 04-06, 2021, Prague, ELECTR NETWORK; 2021 10th international IEEE/EMBS conference on neural engineering (NER) 255-258 [Details]
Özcan, O.; Wang, X.; Binda, F.; Dorgans, K.; De Zeeuw, C.; Gao, Z.; Aertsen, A.; Kumar, A.; Isope, P. (2020):
Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus.
Journal of Neuroscience 40: 159-170 [Details]
Bahuguna, J.; Sahasranamam, A.; Kumar, A. (2020):
Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations.
PloS Computational Biology 16: [Details]
Hunger, L.; Kumar, A.; Schmidt, R. (2020):
Abundance Compensates Kinetics - Similar Effect of Dopamine Signals on D1 and D2 Receptor Populations.
Journal of Neuroscience 40: 2868-2881 [Details]
Rezaei, H.; Aertsen, A.; Kumar, A.; Valizadeh, A. (2020):
Facilitating the propagation of spiking activity in feedforward networks by including feedback.
PloS Computational Biology 16: [Details]
Kim, C.; Egert, U.; Kumar, A. (2020):
Dynamics of multiple interacting excitatory and inhibitory populations with delays.
Physical Review E. Statistical, Nonlinear, and Soft Matter Physics 102: [Details]
Stöber, T.; Lehr, A.; Hafting, T.; Kumar, A.; Fyhn, M. (2020):
Selective neuromodulation and mutual inhibition within the CA3–CA2 system can prioritize sequences for replay.
Hippocampus 30: 1228-1238 [Details]
Hahn, G.; Ponce-Alvarez, A.; Deco, G.; Aertsen, A.; Kumar, A. (2019):
Portraits of communication in neuronal networks.
Nature Reviews Neuroscience 20: 117-127 [Details]
Wärnberg, E.; Kumar, A. (2019):
Perturbing low dimensional activity manifolds in spiking neuronal networks.
PloS Computational Biology 15: [Details]
Spreizer, S.; Aertsen, A.; Kumar, A. (2019):
From space to time - Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks.
PloS Computational Biology 15: [Details]
Filipovic, M.; Ketzef, M.; Reig, R.; Aertsen, A.; Silberberg, G.; Kumar, A. (2019):
Direct pathway neurons in mouse dorsolateral striatum in vivo receive stronger synaptic input than indirect pathway neurons.
Journal of Neurophysiology 122: 2294-2303 [Details]
Heining, K.; Kilias, A.; Janz, P.; Haeussler, U.; Kumar, A.; Haas, C.; Egert, U. (2019):
Bursts with High and Low Load of Epileptiform Spikes Show Contex-Dependent Correlations in Epileptic Mice.
eNeuro 6: [Details]
Grangeray-Vilmint, A.; Valera, A.; Kumar, A.; Isope, P. (2018):
Short-Term Plasticity Combines with Excitation-Inhibition Balance to Expand Cerebellar Purkinje Cell Dynamic Range.
Journal of Neuroscience 38: 5153-5167 [Details]
Kisner, A.; Slocomb, J.; Sarsfield, S.; Zuccoli, M.; Siemian, J.; Gupta, J.; Kumar, A.; Aponte, Y. (2018):
Electrophysiological properties and projections of lateral hypothalamic parvalbumin positive neurons.
PLOS ONE 13: [Details]
Belic, J.; Kumar, A.; Hellgren Kotaleski, J. (2017):
The role of striatal feedforward inhibition in propagation of cortical oscillations.
BMC neuroscience (Online) 18: 91-91 [Details]
Mirzaei, A.; Kumar, A.; Leventhal, D.; Mallet, N.; Aertsen, A.; Berke, J.; Schmidt, R. (2017):
Sensorimotor Processing in the Basal Ganglia Leads to Transient Beta Oscillations during Behavior.
Journal of Neuroscience 37: 11220-11232 [Details]
Belic, J.; Kumar, A.; Hellgren Kotaleski, J. (2017):
Interactions in the Striatal Network with Different Oscillation Frequencies.
[Conference paper] Artificial Neural Networks and Machine Learning – ICANN 2017; Artificial Neural Networks and Machine Learning – ICANN. Lecture Notes in Computer Science 129-136 [Details]
Kumar, A. (2017):
Reprogramming the striatal stars - A new treatment option for Parkinson's disease.
Movement Disorders 32: 991-991 [Details]
Hahn, G.; Ponce-Alvarez, A.; Monier, C.; Benvenuti, G.; Kumar, A.; Chavane, F.; Deco, G.; Fregnac, Y. (2017):
Spontaneous cortical activity is transiently poised close to criticality.
PloS Computational Biology 13: [Details]
Bahuguna, J.; Tetzlaff, T.; Kumar, A.; Hellgren Kotaleski, J.; Morrison, A. (2017):
Homologous Basal Ganglia Network Models in Physiological and Parkinsonian Conditions.
Frontiers in Computational Neuroscience 11: [Details]
Spreizer, S.; Angelhuber, M.; Bahuguna, J.; Aertsen, A.; Kumar, A. (2017):
Activity Dynamics and Signal Representation in a Striatal Network Model with Distance-Dependent Connectivity.
eNeuro : [Details]
Belić, J.; Kumar, A.; Hellgren Kotaleski, J. (2017):
Interplay between periodic stimulation and GABAergic inhibition in striatal network oscillations.
PLOS ONE 12: 1-17 [Details]
Ekeberg, Ö.; Fransén, E.; Hellgren Kotaleski, J.; Herman, P.; Kumar, A.; Lansner, A.; Lindeberg, T. (2016):
Computational Brain Science at CST, CSC, KTH.
Other [Details]
Vlachos, I.; Deniz, T.; Aertsen, A.; Kumar, A. (2016):
Recovery of dynamics and function in spiking neural networks with closed-loop control.
PloS Computational Biology 12: e1004720 [Details]
Sahasranamam, A.; Vlachos, I.; Aertsen, A.; Kumar, A. (2016):
Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity.
Scientific Reports 6: [Details]
Bujan, A.; Aertsen, A.; Kumar, A. (2015):
Role of Input Correlations in Shaping the Variability and Noise Correlations of Evoked Activity in the Neocortex.
Journal of Neuroscience 35: 8611-8625 [Details]
Bahuguna, J.; Aertsen, A.; Kumar, A. (2015):
Existence and control of Go/No-Go decision transition threshold in the striatum.
PloS Computational Biology 11: [Details]
Najac, M.; Diez, A.; Kumar, A.; Benito, N.; Charpak, S.; De Saint Jan, D. (2015):
Intraglomerular Lateral Inhibition Promotes Spike Timing Variability in Principal Neurons of the Olfactory Bulb.
Journal of Neuroscience 35: 4319-4331 [Details]
Mengiste, S.; Aertsen, A.; Kumar, A. (2015):
Effect of edge pruning on structural controllability and observability of complex networks.
Scientific Reports 5: 18145 [Details]
Grah, G.; Kumar, A. (2014):
Wettstreit der Metaphern.
Geist und Gehirn 7: 60-65 [Details]
Hahn, G.; Bujan, A.; Frégnac, Y.; Aertsen, A.; Kumar, A. (2014):
Communication through resonance in spiking neuronal networks.
PloS Computational Biology 10: [Details]
Schnepel, P.; Kumar, A.; Zohar, M.; Aertsen, A.; Boucsein, C. (2014):
Physiology and impact of horizontal connections in rat neocortex.
Cerebral Cortex : [Details]
Yim, M.; Kumar, A.; Aertsen, A.; Rotter, S. (2014):
Impact of correlated inputs to neurons - modeling observations from in vivo intracellular recordings.
Journal of Computational Neuroscience 37: 293-304 [Details]
Grah, G.; Kumar, A. (2013):
Zittern in zahlen.
Geist und Gehirn 5: 68-73 [Details]
Kumar, A.; Vlachos, I.; Aertsen, A.; Boucsein, C. (2013):
Challenges of understanding brain function by selective modulation of neuronal subpopulations.
TINS - Trends in Neurosciences 36: 579-586 [Details]
Vlachos, I.; Zaytsev, Y.; Spreizer, S.; Aertsen, A.; Kumar, A. (2013):
Neural system prediction and identification challenge.
Frontiers in Neuroinformatics 7: 43 [Details]
Vlachos, I.; Aertsen, A.; Kumar, A. (2012):
Beyond Statistical Significance - Implications of Network Structure on Neuronal Activity.
PloS Computational Biology 8: e1002311 [Details]
Froriep, U.; Kumar, A.; Cosandier-Rimélé, D.; Häussler, U.; Kilias, A.; Haas, C.; Egert, U. (2012):
Altered theta coupling between medial entorhinal cortex and dentate gyrus in temporal lobe epilepsy.
Epilepsia 53: 1937-1947 [Details]
Vlachos, I.; Herry, C.; Lüthi, A.; Aertsen, A.; Kumar, A. (2011):
Context-Dependent Encoding of Fear and Extinction Memories in a Large-Scale Network Model of the Basal Amygdala.
PloS Computational Biology 7: [Details]
Kumar, A.; Cardanobile, S.; Rotter, S.; Aertsen, A. (2011):
The role of inhibition in generating and controlling Parkinson’s disease oscillations in the Basal Ganglia.
Frontiers in Systems Neuroscience OCTOBER 2011: [Details]
Yim, M.; Aertsen, A.; Kumar, A. (2011):
Significance of Input Correlations in Striatal Function.
PloS Computational Biology 7: [Details]
Kumar, A.; Singh, H. (2011):
Information homeostasis as a fundamental principle governing the cell division and death.
Medical Hypotheses 77: 318-322 [Details]
Kumar, A.; Mehta, M. (2011):
Frequency dependent changes in NMDAR-dependent synaptic plasticity.
Frontiers in Computational Neuroscience 5: [Details]
Kremkow, J.; Aertsen, A.; Kumar, A. (2010):
Gating of signal propagation in spiking neural networks by balanced and correlated excitation and inhibition.
Journal of Neuroscience 30: 15760-8 [Details]
Kumar, A.; Rotter, S.; Aertsen, A. (2010):
Spiking activity propagation in neuronal networks - reconciling different perspectives on neural coding.
Nature Reviews Neuroscience 11: 615-627 [Details]
Ahmed, O.; McFarland, J.; Kumar, A. (2008):
Reactivation in ventral striatum during hippocampal ripples - evidence for the binding of reward and spatial memories?.
Journal of Neuroscience 28: 9895-9897 [Details]
Kumar, A.; Rotter, S.; Aertsen, A. (2008):
Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model.
Journal of Neuroscience 28: 5268-5280 [Details]
Kumar, A.; Schrader, S.; Aertsen, A.; Rotter, S. (2008):
The high-conductance state of cortical networks.
Neural Computation 20: 1-43 [Details]

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