Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Liang, Znaonui
Zhang, Gang
Huang, Jimmy Xiangji
and
Hu, Qmming Vivian
2014.
Deep learning for healthcare decision making with EMRs.
p.
556.
Zenke, Friedemann
and
Gerstner, Wulfram
2014.
Limits to high-speed simulations of spiking neural networks using general-purpose computers.
Frontiers in Neuroinformatics,
Vol. 8,
Issue. ,
Naud, Richard
Bathellier, Brice
and
Gerstner, Wulfram
2014.
Spike-timing prediction in cortical neurons with active dendrites.
Frontiers in Computational Neuroscience,
Vol. 8,
Issue. ,
Zaytsev, Yury V.
Morrison, Abigail
and
Deger, Moritz
2015.
Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity.
Journal of Computational Neuroscience,
Vol. 39,
Issue. 1,
p.
77.
Schwalger, Tilo
Deger, Moritz
and
Gerstner, Wulfram
2015.
Bridging spiking neuron models and mesoscopic population models - a general theory for neural population dynamics.
BMC Neuroscience,
Vol. 16,
Issue. S1,
Érdi, Péter
2015.
Teaching computational neuroscience.
Cognitive Neurodynamics,
Vol. 9,
Issue. 5,
p.
479.
Schwalger, Tilo
and
Lindner, Benjamin
2015.
Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
Physical Review E,
Vol. 92,
Issue. 6,
Tezuka, Taro
2015.
Sparse coding and dictionary learning for spike trains to find spatio-temporal patterns.
BMC Neuroscience,
Vol. 16,
Issue. S1,
Gutierrez, Carlos E.
Doya, Kenji
and
Yoshimoto, Junichiro
2015.
Self-consistent neuronal population under spike inputs and unbalanced conditions.
p.
309.
Naud, Richard
Houtman, Dave
Rose, Gary J.
and
Longtin, André
2015.
Counting on dis-inhibition: a circuit motif for interval counting and selectivity in the anuran auditory system.
Journal of Neurophysiology,
Vol. 114,
Issue. 5,
p.
2804.
Adamchik, D. A.
Matrosov, V. V.
Semyanov, A. V.
and
Kazantsev, V. B.
2015.
Model of self-oscillations in a neuron generator under the action of an active medium.
JETP Letters,
Vol. 102,
Issue. 9,
p.
624.
Michel, Christophe B.
Azevedo Coste, Christine
Desmadryl, Gilles
Puel, Jean‐Luc
Bourien, Jerome
and
Graham, Bruce P.
2015.
Identification and modelling of fast and slow Ih current components in vestibular ganglion neurons.
European Journal of Neuroscience,
Vol. 42,
Issue. 10,
p.
2867.
Ziegler, Lorric
Zenke, Friedemann
Kastner, David B.
and
Gerstner, Wulfram
2015.
Synaptic Consolidation: From Synapses to Behavioral Modeling.
The Journal of Neuroscience,
Vol. 35,
Issue. 3,
p.
1319.
Ameloot, Tom J.
and
Van den Bussche, Jan
2015.
Positive Neural Networks in Discrete Time Implement Monotone-Regular Behaviors.
Neural Computation,
Vol. 27,
Issue. 12,
p.
2623.
Jabalameli, Amirhossein
and
Behal, Aman
2015.
A constrained linear approach to identify a multi-timescale adaptive threshold neuronal model.
p.
1.
Steimer, Andreas
Schindler, Kaspar
and
Chacron, Maurice J.
2015.
Random Sampling with Interspike-Intervals of the Exponential Integrate and Fire Neuron: A Computational Interpretation of UP-States.
PLOS ONE,
Vol. 10,
Issue. 7,
p.
e0132906.
Varghese, J.J.
Weegink, K.J.
Bellette, P.A.
and
Bradley, A.P.
2015.
Spectral properties of neuronal pulse interval modulation.
p.
1007.
Zhang, Danke
Wu, Si
Rasch, Malte J.
and
Cymbalyuk, Gennady
2015.
Circuit Motifs for Contrast-Adaptive Differentiation in Early Sensory Systems: The Role of Presynaptic Inhibition and Short-Term Plasticity.
PLOS ONE,
Vol. 10,
Issue. 2,
p.
e0118125.
Friedrich, Johannes
and
Lengyel, Máté
2016.
Goal-Directed Decision Making with Spiking Neurons.
The Journal of Neuroscience,
Vol. 36,
Issue. 5,
p.
1529.
Doiron, Brent
Litwin-Kumar, Ashok
Rosenbaum, Robert
Ocker, Gabriel K
and
Josić, Krešimir
2016.
The mechanics of state-dependent neural correlations.
Nature Neuroscience,
Vol. 19,
Issue. 3,
p.
383.