Publikationer av Arvind Kumar
Refereegranskade
Artiklar
[1]
M. A. Cenci och A. Kumar, "Cells, pathways, and models in dyskinesia research," Current Opinion in Neurobiology, vol. 84, 2024.
[2]
J. Zang et al., "Structural constraints on the emergence of oscillations in multi-population neural networks," eLIFE, vol. 12, 2024.
[3]
M. Lenninger et al., "Are single-peaked tuning curves tuned for speed rather than accuracy?," eLIFE, vol. 12, 2023.
[4]
P. Helson et al., "Cortex-wide topography of 1/f-exponent in Parkinson's disease," NPJ PARKINSONS DISEASE, vol. 9, no. 1, 2023.
[5]
F. Binda et al., "Excitation and Inhibition Delays within a Feedforward Inhibitory Pathway Modulate Cerebellar Purkinje Cell Output in Mice," Journal of Neuroscience, vol. 43, no. 33, s. 5905-5917, 2023.
[6]
E. Wärnberg och A. Kumar, "Feasibility of dopamine as a vector-valued feedback signal in the basal ganglia.," Proceedings of the National Academy of Sciences of the United States of America, vol. 120, no. 32, 2023.
[7]
L. Guo och A. Kumar, "Role of interneuron subtypes in controlling trial-by-trial output variability in the neocortex," Communications Biology, vol. 6, no. 1, 2023.
[8]
G. Hahn et al., "Rate and oscillatory switching dynamics of a multilayer visual microcircuit model," eLIFE, vol. 11, 2022.
[9]
M. Sandstrom et al., "Recommendations for repositories and scientific gateways from a neuroscience perspective," Scientific Data, vol. 9, no. 1, 2022.
[10]
K. Chakravarty et al., "Transient Response of Basal Ganglia Network in Healthy and Low-Dopamine State," eNeuro, vol. 9, no. 2, s. ENEURO.0376-21.2022, 2022.
[11]
A. B. Lehr et al., "CA2 beyond social memory : Evidence for a fundamental role in hippocampal information processing," Neuroscience and Biobehavioral Reviews, vol. 126, s. 398-412, 2021.
[12]
L. Tauffer och A. Kumar, "Short-Term Synaptic Plasticity Makes Neurons Sensitive to the Distribution of Presynaptic Population Firing Rates," eNeuro, vol. 8, no. 2, 2021.
[13]
L. Hunger, A. Kumar och R. Schmidt, "Abundance Compensates Kinetics : Similar Effect of Dopamine Signals on D1 and D2 Receptor Populations," Journal of Neuroscience, vol. 40, no. 14, s. 2868-2881, 2020.
[14]
O. O. Özcan et al., "Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus," Journal of Neuroscience, vol. 40, no. 1, s. 159-170, 2020.
[15]
C. M. Kim, U. Egert och A. Kumar, "Dynamics of multiple interacting excitatory and inhibitory populations with delays," Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, vol. 102, no. 2, 2020.
[16]
H. Rezaei et al., "Facilitating the propagation of spiking activity in feedforward networks by including feedback," PloS Computational Biology, vol. 16, no. 8, 2020.
[17]
T. M. Stöber et al., "Selective neuromodulation and mutual inhibition within the CA3âCA2 system can prioritize sequences for replay," Hippocampus, vol. 30, no. 11, s. 1228-1238, 2020.
[18]
J. Bahuguna, A. Sahasranamam och A. Kumar, "Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations," PloS Computational Biology, vol. 16, no. 3, 2020.
[19]
K. Heining et al., "Bursts with High and Low Load of Epileptiform Spikes Show Contex-Dependent Correlations in Epileptic Mice," eNeuro, vol. 6, no. 5, 2019.
[20]
M. Filipovic et al., "Direct pathway neurons in mouse dorsolateral striatum in vivo receive stronger synaptic input than indirect pathway neurons," Journal of Neurophysiology, vol. 122, no. 6, s. 2294-2303, 2019.
[21]
S. Spreizer, A. Aertsen och A. Kumar, "From space to time : Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks," PloS Computational Biology, vol. 15, no. 10, 2019.
[22]
E. Wärnberg och A. Kumar, "Perturbing low dimensional activity manifolds in spiking neuronal networks," PloS Computational Biology, vol. 15, no. 5, 2019.
[23]
G. Hahn et al., "Portraits of communication in neuronal networks," Nature Reviews Neuroscience, vol. 20, no. 2, s. 117-127, 2019.
[24]
A. Kisner et al., "Electrophysiological properties and projections of lateral hypothalamic parvalbumin positive neurons," PLOS ONE, vol. 13, no. 6, 2018.
[25]
A. Grangeray-Vilmint et al., "Short-Term Plasticity Combines with Excitation-Inhibition Balance to Expand Cerebellar Purkinje Cell Dynamic Range," Journal of Neuroscience, vol. 38, no. 22, s. 5153-5167, 2018.
[26]
S. Spreizer et al., "Activity Dynamics and Signal Representation in a Striatal Network Model with Distance-Dependent Connectivity," eNeuro, 2017.
[27]
J. Bahuguna et al., "Homologous Basal Ganglia Network Models in Physiological and Parkinsonian Conditions," Frontiers in Computational Neuroscience, vol. 11, 2017.
[28]
J. Belić, A. Kumar och J. Hellgren Kotaleski, "Interplay between periodic stimulation and GABAergic inhibition in striatal network oscillations," PLOS ONE, vol. 12, no. 4, s. 1-17, 2017.
[29]
A. Kumar, "Reprogramming the striatal stars : A new treatment option for Parkinson's disease," Movement Disorders, vol. 32, no. 7, s. 991-991, 2017.
[30]
A. Mirzaei et al., "Sensorimotor Processing in the Basal Ganglia Leads to Transient Beta Oscillations during Behavior," Journal of Neuroscience, vol. 37, no. 46, s. 11220-11232, 2017.
[31]
G. Hahn et al., "Spontaneous cortical activity is transiently poised close to criticality," PloS Computational Biology, vol. 13, no. 5, 2017.
[32]
J. Belic, A. Kumar och J. Hellgren Kotaleski, "The role of striatal feedforward inhibition in propagation of cortical oscillations," BMC Neuroscience, vol. 18, s. 91-91, 2017.
[33]
A. Sahasranamam et al., "Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity," Scientific Reports, vol. 6, 2016.
[34]
I. Vlachos et al., "Recovery of dynamics and function in spiking neural networks with closed-loop control," PloS Computational Biology, vol. 12, no. 2, s. e1004720, 2016.
[35]
S. Mengiste, A. Aertsen och A. Kumar, "Effect of edge pruning on structural controllability and observability of complex networks," Scientific Reports, vol. 5, s. 18145, 2015.
[36]
J. Bahuguna, A. Aertsen och A. Kumar, "Existence and control of Go/No-Go decision transition threshold in the striatum," PloS Computational Biology, vol. 11, no. 4, 2015.
[37]
M. Najac et al., "Intraglomerular Lateral Inhibition Promotes Spike Timing Variability in Principal Neurons of the Olfactory Bulb," Journal of Neuroscience, vol. 35, no. 10, s. 4319-4331, 2015.
[38]
A. Bujan, A. Aertsen och A. Kumar, "Role of Input Correlations in Shaping the Variability and Noise Correlations of Evoked Activity in the Neocortex," Journal of Neuroscience, vol. 35, no. 22, s. 8611-8625, 2015.
[39]
G. Hahn et al., "Communication through resonance in spiking neuronal networks," PloS Computational Biology, vol. 10, no. 8, 2014.
[40]
M. Y. Yim et al., "Impact of correlated inputs to neurons : modeling observations from in vivo intracellular recordings," Journal of Computational Neuroscience, vol. 37, no. 2, s. 293-304, 2014.
[41]
P. Schnepel et al., "Physiology and impact of horizontal connections in rat neocortex," Cerebral Cortex, 2014.
[42]
A. Kumar et al., "Challenges of understanding brain function by selective modulation of neuronal subpopulations," TINS - Trends in Neurosciences, vol. 36, no. 10, s. 579-586, 2013.
[43]
I. Vlachos et al., "Neural system prediction and identification challenge," Frontiers in Neuroinformatics, vol. 7, no. DEC, s. 43, 2013.
[44]
U. P. Froriep et al., "Altered theta coupling between medial entorhinal cortex and dentate gyrus in temporal lobe epilepsy," Epilepsia, vol. 53, no. 11, s. 1937-1947, 2012.
[45]
I. Vlachos, A. Aertsen och A. Kumar, "Beyond Statistical Significance : Implications of Network Structure on Neuronal Activity," PloS Computational Biology, vol. 8, no. 1, s. e1002311, 2012.
[46]
I. Vlachos et al., "Context-Dependent Encoding of Fear and Extinction Memories in a Large-Scale Network Model of the Basal Amygdala," PloS Computational Biology, vol. 7, no. 3, 2011.
[47]
A. Kumar och M. R. Mehta, "Frequency dependent changes in NMDAR-dependent synaptic plasticity," Frontiers in Computational Neuroscience, vol. 5, no. 38, 2011.
[48]
A. Kumar och H. P. Singh, "Information homeostasis as a fundamental principle governing the cell division and death," Medical Hypotheses, vol. 77, no. 3, s. 318-322, 2011.
[49]
M. Y. Yim, A. Aertsen och A. Kumar, "Significance of Input Correlations in Striatal Function," PloS Computational Biology, vol. 7, no. 11, 2011.
[50]
A. Kumar et al., "The role of inhibition in generating and controlling Parkinson’s disease oscillations in the Basal Ganglia," Frontiers in Systems Neuroscience, vol. OCTOBER 2011, 2011.
[51]
J. Kremkow, A. Aertsen och A. Kumar, "Gating of signal propagation in spiking neural networks by balanced and correlated excitation and inhibition," Journal of Neuroscience, vol. 30, no. 47, s. 15760-8, 2010.
[52]
A. Kumar, S. Rotter och A. Aertsen, "Spiking activity propagation in neuronal networks : reconciling different perspectives on neural coding," Nature Reviews Neuroscience, vol. 11, no. 9, s. 615-627, 2010.
[53]
A. Kumar, S. Rotter och A. Aertsen, "Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model," Journal of Neuroscience, vol. 28, no. 20, s. 5268-5280, 2008.
[54]
O. J. Ahmed, J. McFarland och A. Kumar, "Reactivation in ventral striatum during hippocampal ripples : evidence for the binding of reward and spatial memories?," Journal of Neuroscience, vol. 28, no. 40, s. 9895-9897, 2008.
[55]
A. Kumar et al., "The high-conductance state of cortical networks," Neural Computation, vol. 20, s. 1-43, 2008.
[56]
R. Meier et al., "Comparison of dynamical states of random networks with human EEG," Neurocomputing, vol. 70, no. 10-12, s. 1843-1847, 2007.
[57]
J. Kremkow et al., "Emergence of population synchrony in a layered network of the cat visual cortex," Neurocomputing, vol. 70, no. 10-12, s. 2069-2073, 2007.
Konferensbidrag
[58]
E. Manferlotti et al., "Correlated inputs to striatal population drive subthalamic nucleus hyper-synchronization," i 2021 10th international IEEE/EMBS conference on neural engineering (NER), 2021, s. 255-258.
[59]
A. Kumar et al., "Open Nodal Power Flow Model of the Nordic Power System," i 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, 2021.
[60]
J. Belic, A. Kumar och J. Hellgren Kotaleski, "Interactions in the Striatal Network with Different Oscillation Frequencies," i Artificial Neural Networks and Machine Learning – ICANN. Lecture Notes in Computer Science, 2017, s. 129-136.
Icke refereegranskade
Artiklar
[61]
[62]
Övriga
[63]
Ö. Ekeberg et al., "Computational Brain Science at CST, CSC, KTH," KTH Royal Institute of Technology, 2016.
[64]
I. Carannante et al., "The impact of Parkinson’s disease on striatal network connectivity and cortico-striatal drive : an in-silico study," (Manuskript).
Senaste synkning med DiVA:
2024-04-21 04:13:12