Philipp Berens

发表

State Dependence of Noise Correlations in Macaque Primary Visual Cortex

Alexander S. Ecker, George H. Denfield, M. Bethge, 2014, Neuron.

Alexander S. Ecker, Georgios A. Keliris, M. Bethge, 2010, Science.

Principles of connectivity among morphologically defined cell types in adult neocortex

Alexander S. Ecker, Saumil S. Patel, Philipp Berens, 2015, Science.

Spikes in Mammalian Bipolar Cells Support Temporal Layering of the Inner Retina

M. Bethge, Philipp Berens, Thomas Euler, 2013, Current Biology.

Comparing the Feature Selectivity of the Gamma-Band of the Local Field Potential and the Underlying Spiking Activity in Primate Visual Cortex

Alexander S. Ecker, Georgios A. Keliris, N. Logothetis, 2008, Frontiers in systems neuroscience.

Population code in mouse V1 facilitates read-out of natural scenes through increased sparseness

Alexander S. Ecker, Matthias Bethge, Emmanouil Froudarakis, 2014, Nature Neuroscience.

Reassessing optimal neural population codes with neurometric functions

Alexander S. Ecker, Matthias Bethge, Philipp Berens, 2011, Proceedings of the National Academy of Sciences.

System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina

Matthias Bethge, Philipp Berens, Thomas Euler, 2020, bioRxiv.

Inhibition decorrelates visual feature representations in the inner retina

M. Bethge, Philipp Berens, Thomas Euler, 2017, Nature.

Die Retina im Rausch der Kanäle

Philipp Berens, Thomas Euler, K. Franke, 2017, Klinische Monatsblätter für Augenheilkunde.

Connectivity map of bipolar cells and photoreceptors in the mouse retina

Philipp Berens, Thomas Euler, S. Haverkamp, 2016, bioRxiv.

The temporal structure of the inner retina at a single glance

Alexander S. Ecker, Klaudia P. Szatko, David A. Klindt, 2019, Scientific Reports.

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data

Kenneth D. Harris, Matthias Bethge, Emmanouil Froudarakis, 2018, PLoS Comput. Biol..

The Effect of Noise Correlations in Populations of Diversely Tuned Neurons

Alexander S. Ecker, M. Bethge, Philipp Berens, 2011, The Journal of Neuroscience.

Künstliche Intelligenz in der Augenheilkunde

Philipp Berens, L. Faes, S. Waldstein, 2020, Der Ophthalmologe.

Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas

Saumil S. Patel, Philipp Berens, C. Cadwell, 2019, Nature Communications.

Neocortical layer 4 in adult mouse differs in major cell types and circuit organization between primary sensory areas

Philipp Berens, C. Cadwell, A. Tolias, 2018, bioRxiv.

Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq

Athanasia G. Palasantza, M. Bethge, Philipp Berens, 2015, Nature Biotechnology.

Zebrafish Differentially Process Color across Visual Space to Match Natural Scenes

Maxime J. Y. Zimmermann, Philipp Berens, T. Baden, 2018, Current Biology.

The effect of noise correlations in populations of diversely tuned neurons

Alexander S. Ecker, M. Bethge, Philipp Berens, 2011 .

NeuroResource Benchmarking Spike Rate Inference in Population Calcium Imaging Highlights

M. Bethge, Philipp Berens, A. Tolias, 2016 .

Feature Selectivity of the Gamma-Band of the Local Field Potential in Primate Primary Visual Cortex

Alexander S. Ecker, Georgios A. Keliris, N. Logothetis, 2008, Front. Neurosci..

Spikes are phase locked to the gamma-band of the local field potential oscillations in the primary visual cortex of the macaque

Alexander S. Ecker, Andreas Hoenselaar, Philipp Berens, 2006 .

Phenomenal Causality and Sensory Realism

Sebastian A. Bruijns, B. Schölkopf, Philipp Berens, 2020, i-Perception.

Mouse dLGN receives input from a diverse population of retinal ganglion cells with limited convergence

L. Busse, Philipp Berens, Thomas Euler, 2018, bioRxiv.

Zebrafish differentially process colour across visual space to match natural scenes

Maxime J. Y. Zimmermann, Philipp Berens, T. Baden, 2017, bioRxiv.

Sparse activity of identified dentate granule cells during spatial exploration

Maria Diamantaki, Philipp Berens, Markus Frey, 2016, eLife.

Cellular and molecular mechanisms of photoreceptor tuning for prey capture in larval zebrafish

Philipp Berens, T. Baden, Cornelius Schröder, 2019, bioRxiv.

Neural circuits in the mouse retina support color vision in the upper visual field

Philipp Berens, Thomas Euler, Timm Schubert, 2019, bioRxiv.

Abbreviated title: Neural correlates of flash lag illusion

Alexander S. Ecker, Saumil S. Patel, Philipp Berens, 2015 .

Cell type composition and circuit organization of clonally related excitatory neurons in the juvenile mouse neocortex

Paul G. Fahey, Philipp Berens, C. Cadwell, 2020, eLife.

Cell type composition and circuit organization of neocortical radial clones

Paul G. Fahey, Philipp Berens, R. Cotton, 2019, bioRxiv.

Connectomics of synaptic microcircuits: lessons from the outer retina

Philipp Berens, Thomas Euler, T. Schubert, 2017, The Journal of physiology.

The temporal structure of the inner retina at a single glance

Alexander S. Ecker, Klaudia P. Szatko, David A. Klindt, 2019, Scientific Reports.

Systematic spatiotemporal mapping reveals divergent cell death pathways in three mouse models of hereditary retinal degeneration

Philipp Berens, Thomas Euler, T. Schubert, 2019, The Journal of comparative neurology.

Systematic spatio-temporal mapping reveals divergent cell death pathways in three mouse models of hereditary retinal degeneration

Philipp Berens, Thomas Euler, T. Schubert, 2019, bioRxiv.

Molecular Fingerprinting of On–Off Direction-Selective Retinal Ganglion Cells Across Species and Relevance to Primate Visual Circuits

Onkar S. Dhande, Ann H Phan, Phong L. Nguyen, 2018, The Journal of Neuroscience.

Neuronal Diversity In The Retina

Philipp Berens, Thomas Euler, 2017 .

Local Signals in Mouse Horizontal Cell Dendrites

Philipp Berens, Thomas Euler, T. Schubert, 2017, Current Biology.

Neuronale Vielfalt in der Netzhaut

Philipp Berens, Thomas Euler, 2017 .

Phenotypic variation of transcriptomic cell types in mouse motor cortex

Philipp Berens, C. Cadwell, A. Tolias, 2020, Nature.

A multimodal cell census and atlas of the mammalian primary motor cortex

Satrajit S. Ghosh, Nicholas N. Foster, Evan Z. Macosko, 2020, Nature.

Retinal horizontal cells use different synaptic sites for global feedforward and local feedback signaling

Philipp Berens, Thomas Euler, S. Haverkamp, 2019, bioRxiv.

Object manifold geometry across the mouse cortical visual hierarchy

Emmanouil Froudarakis, Uri Cohen, Maria Diamantaki, 2020, bioRxiv.

Balanced excitation and inhibition decorrelates visual feature representation in the mammalian inner retina

M. Bethge, Philipp Berens, Thomas Euler, 2016, bioRxiv.

Mouse dLGN Receives Functional Input from a Diverse Population of Retinal Ganglion Cells with Limited Convergence

L. Busse, Philipp Berens, M. Rosón, 2019, Neuron.

Zebrafish Differentially Process Color across Visual Space to Match Natural Scenes

Philipp Berens, T. Baden, D. Nilsson, 2018, Current Biology.

Near-optimal rotation of colour space by zebrafish cones in vivo

Philipp Berens, T. Baden, Cornelius Schröder, 2020, bioRxiv.

Potenzial von Methoden der künstlichen Intelligenz für die Qualitätssicherung

Philipp Berens, S. M. Waldstein, F. Ziemssen, 2020, Der Ophthalmologe.

OrientationFine and Coarse Discrimination of From Another Angle: Differences in Cortical Coding

Wei Ji Ma, Wei Wang, Alexander S. Ecker, 2015 .

Type-specific dendritic integration in mouse retinal ganglion cells

Philipp Berens, Thomas Euler, T. Baden, 2019, bioRxiv.

Center-surround interactions underlie bipolar cell motion sensitivity in the mouse retina

Philipp Berens, Thomas Euler, T. Schubert, 2022, Nature Communications.

Eye-Region Specific Ribbon Tuning Supports 1 Distinct Modes of Synaptic Transmission 2 in Same-Type Cone-Photoreceptors

Philipp Berens, T. Baden, Cornelius Schröder, 2021 .

Attraction-Repulsion Spectrum in Neighbor Embeddings

Philipp Berens, J. Bohm, D. Kobak, 2020, J. Mach. Learn. Res..

Optimal Population Coding, Revisited

Alexander S. Ecker, M. Bethge, Philipp Berens, 2011 .

A chromatic feature detector in the retina signals visual context changes

Alexander S. Ecker, Klaudia P. Szatko, David A. Klindt, 2024, bioRxiv.

Interpretable Detection of Epiretinal Membrane from Optical Coherence Tomography with Deep Neural Networks

Philipp Berens, M. Ayhan, F. Gelisken, 2022, medRxiv.

Near-optimal rotation of colour space by zebrafish cones in vivo

Philipp Berens, T. Baden, Cornelius Schröder, 2019, bioRxiv.

Efficient identification of informative features in simulation-based inference

J. Macke, Philipp Berens, Michael Deistler, 2022, 2210.11915.

The Cape Herders: A History of the Khoikhoi of Southern Africa

Philipp Berens, P. Berens, A. Humphreys, 1998 .

The art of using t-SNE for single-cell transcriptomics

Philipp Berens, Dmitry Kobak, Philipp Berens, 2018, Nature Communications.

Response to Comment on “Principles of connectivity among morphologically defined cell types in adult neocortex”

Alexander S. Ecker, Emmanouil Froudarakis, Philipp Berens, 2016, Science.

On the ethics of algorithmic decision-making in healthcare

Philipp Berens, Philipp Berens, Thomas Grote, 2019, Journal of Medical Ethics.

CircStat: AMATLABToolbox for Circular Statistics

Philipp Berens, Philipp Berens, 2009, Journal of Statistical Software.

Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics

Jonathan Oesterle, Katrin Franke, Thomas Euler, 2020, bioRxiv.

Multitask Learning for Activity Detection in Neovascular Age-Related Macular Degeneration

Philipp Berens, W. Inhoffen, L. Kuehlewein, 2022, medRxiv.

Clinical Validation of Saliency Maps for Understanding Deep Neural Networks in Ophthalmology

Philipp Berens, W. Inhoffen, L. Kuehlewein, 2021, medRxiv.

Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection

Philipp Berens, Murat Seckin Ayhan, Laura Kuehlewein, 2019, Medical Image Anal..

Understanding the retinal basis of vision across species

Philipp Berens, Thomas Euler, T. Baden, 2019, Nature Reviews Neuroscience.

The Functional Organization of Vertebrate Retinal Circuits for Vision

Philipp Berens, Thomas Euler, Tom Baden, 2018 .

Mouse dLGN Receives Functional Input from a Diverse Population of Retinal Ganglion Cells with Limited Convergence

L. Busse, Philipp Berens, M. Rosón, 2019, Neuron.

The functional diversity of retinal ganglion cells in the mouse

Matthias Bethge, Katrin Franke, Philipp Berens, 2015, Nature.

Understanding the retinal basis of vision across species

Philipp Berens, Thomas Euler, T. Baden, 2019, Nature Reviews Neuroscience.

Center-surround interactions underlie bipolar cell motion sensing in the mouse retina

Philipp Berens, Thomas Euler, T. Schubert, 2021, bioRxiv.

Distinct synaptic transfer functions in same-type photoreceptors

Philipp Berens, T. Baden, Cornelius Schröder, 2021, bioRxiv.

Fovea-like Photoreceptor Specializations Underlie Single UV Cone Driven Prey-Capture Behavior in Zebrafish

Philipp Berens, T. Baden, Cornelius Schröder, 2020, Neuron.

Phenomenal Causality and Sensory Realism

Sebastian A. Bruijns, B. Schölkopf, Philipp Berens, 2019, i-Perception.

Ancestral circuits for vertebrate color vision emerge at the first retinal synapse

Philipp Berens, T. Baden, Cornelius Schröder, 2020, Science advances.

Human-level saccade detection performance using deep neural networks.

Ziad M Hafed, Philipp Berens, Ziad M. Hafed, 2019, Journal of neurophysiology.

Local field potentials, BOLD and spiking activity: Relationships and physiological mechanisms

Nikos K. Logothetis, Philipp Berens, Andreas S. Tolias, 2010 .

Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data

Philipp Berens, D. Kobak, Jan Lause, 2020, Genome Biology.

Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data

Philipp Berens, D. Kobak, Jan Lause, 2021, Genome Biology.

Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience

Klaudia P. Szatko, David A. Klindt, Benjamin A. Dunn, 2021, bioRxiv.

Sparse bottleneck neural networks for exploratory non-linear visualization of Patch-seq data

Philipp Berens, D. Kobak, Yves Bernaerts, 2020, 2006.10411.

Unsupervised visualization of image datasets using contrastive learning

Philipp Berens, Jan Boehm, D. Kobak, 2022, ArXiv.

A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination

Philipp Berens, Sophie Laturnus, Dmitry Kobak, 2019, Neuroinformatics.

A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum pdf

Jan Niklas Böhm, Philipp Berens, Dmitry Kobak, 2020, ArXiv.

Sparse Visual Counterfactual Explanations in Image Space

Philipp Berens, Matthias Hein, Francesco Croce, 2022, GCPR.

A joint maximum-entropy model for binary neural population patterns and continuous signals

Matthias Bethge, Philipp Berens, Sebastian Gerwinn, 2009, NIPS.

Sparse reduced‐rank regression for exploratory visualisation of paired multivariate data

Marissa A. Weis, Philipp Berens, A. Tolias, 2021, Journal of the Royal Statistical Society: Series C (Applied Statistics).

A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination

Philipp Berens, D. Kobak, S. Laturnus, 2020, Neuroinformatics.

Sparse reduced-rank regression for exploratory visualization of multimodal data sets

Philipp Berens, Federico Scala, Dmitry Kobak, 2018, bioRxiv.

Phenotypic variation within and across transcriptomic cell types in mouse motor cortex

Hongkui Zeng, Philipp Berens, Federico Scala, 2020, bioRxiv.

Uncertainty, Evidence, and the Integration of Machine Learning into Medical Practice.

Philipp Berens, Thomas Grote, 2023, The Journal of medicine and philosophy.

Benchmarking Spike Rate Inference in Population Calcium Imaging

Matthias Bethge, Emmanouil Froudarakis, Jacob Reimer, 2016, Neuron.

Okuläre Veränderungen als Hilfsmittel in der Malariadiagnostik

Philipp Berens, J. Rohrbach, H. Faber, 2021, Die Ophthalmologie.

[Artificial intelligence in ophthalmology : Guidelines for physicians for the critical evaluation of studies].

Philipp Berens, Steffen Schmitz-Valckenberg, Karsten Kortüm, 2020, Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft.

Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data

Matthias Bethge, Philipp Berens, Jakob H. Macke, 2011, Front. Comput. Neurosci..

Signatures of criticality arise from random subsampling in simple population models

Matthias Bethge, Philipp Berens, Jakob H. Macke, 2016, PLoS Comput. Biol..

Signatures of criticality arise in simple neural population models with correlations

M. Bethge, J. Macke, Philipp Berens, 2016, 1603.00097.

The circular statistics toolbox for Matlab

Philipp Berens, Philipp Berens, 2009 .

AI for Science: An Emerging Agenda

Neil D. Lawrence, Philipp Berens, U. V. Luxburg, 2023, ArXiv.

Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types

J. Macke, Philipp Berens, A. Tolias, 2023, bioRxiv.

Efficient identification of informative features in simulation-based inference

J. Macke, Philipp Berens, Michael Deistler, 2022, NeurIPS.

Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models

Philipp Berens, Philipp Hennig, Jonathan Oesterle, 2022, Journal of Computational Neuroscience.

Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382)

Neil D. Lawrence, Philipp Berens, U. V. Luxburg, 2022, Dagstuhl Reports.

Numerical uncertainty can critically affect simulations of mechanistic models in neuroscience

Philipp Berens, Philipp Hennig, Jonathan Oesterle, 2021, bioRxiv.

Studying the effects of noise correlations on population coding using a sampling method

Alexander S. Ecker, Matthias Bethge, Nikos K. Logothetis, 2007 .

Generating Spike Trains with Specified Correlation Coefficients

Alexander S. Ecker, Matthias Bethge, Philipp Berens, 2009, Neural Computation.

Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse

Philipp Berens, Leon Lagnado, Ben James, 2019, bioRxiv.

Unsupervised visualization of image datasets using contrastive learning

Philipp Berens, Jan Boehm, D. Kobak, 2022, ICLR.

Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations

Stefan Steinerberger, Philipp Berens, Yuval Kluger, 2019, ECML/PKDD.

Community-based benchmarking improves spike inference from two-photon calcium imaging data

Matthias Bethge, Andreas S. Tolias, Jakob H. Macke, 2017, bioRxiv.

Supervised learning sets benchmark for robust spike detection from calcium imaging signals

Matthias Bethge, Emmanouil Froudarakis, Andreas S. Tolias, 2015 .

Supervised learning sets benchmark for robust spike rate inference from calcium imaging signals

Matthias Bethge, Emmanouil Froudarakis, Lucas Theis, 2015, bioRxiv.

Standardizing and benchmarking data analysis for calcium imaging

Matthias Bethge, Andreas S. Tolias, Lucas Theis, 2017 .

Leveraging uncertainty information from deep neural networks for disease detection

Siegfried Wahl, Philipp Berens, Christian Leibig, 2016, Scientific Reports.

Multitask Learning for Activity Detection in Neovascular Age-Related Macular Degeneration

Philipp Berens, W. Inhoffen, M. Ayhan, 2023, Translational vision science & technology.

Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks

Philipp Berens, Murat Seckin Ayhan, Philipp Berens, 2018 .

Schulische Prädiktoren für psychische Auffälligkeiten bei Kindern und Jugendlichen anhand einer Befragung von Schülerinnen und Schülern an Klinik- und Regelschulen

Philipp Berens, C. Käppler, J. Janschewski, 2022, Zeitschrift für Pädagogische Psychologie.

Ancestral circuits for vertebrate colour vision

Philipp Berens, T. Baden, Cornelius Schröder, 2022 .

DataJoint: managing big scientific data using MATLAB or Python

Alexander S. Ecker, Andreas S. Tolias, Andreas Hoenselaar, 2015, bioRxiv.

Near-Maximum Entropy Models for Binary Neural Representations of Natural Images

Matthias Bethge, Philipp Berens, M. Bethge, 2007, NIPS.

Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images

Christian F. Baumgartner, Lisa M. Koch, Philipp Berens, 2023, ArXiv.

Personalized neurorehabilitative precision medicine: from data to therapies (MWKNeuroReha) – a multi-centre prospective observational clinical trial to predict long-term outcome of patients with acute motor stroke

J. Macke, Philipp Berens, M. Erb, 2022, BMC Neurology.

Asymmetric distribution of color-opponent response types across mouse visual cortex supports superior color vision in the sky

Philipp Berens, A. Tolias, K. Franke, 2023, bioRxiv.

Interpretable Gender Classification from Retinal Fundus Images using BagNets

Philipp Berens, D. Kobak, M. Ayhan, 2021, medRxiv.

Object manifold geometry across the mouse cortical visual hierarchy

Edgar Y. Walker, H. Sompolinsky, Philipp Berens, 2020, bioRxiv.

Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Lisa M. Koch, Philipp Berens, M. Ayhan, 2022, medRxiv.

Human-level saccade detection performance using deep neural networks

Philipp Berens, Ziad M. Hafed, Hendrikje Nienborg, 2018, bioRxiv.

Manipulating Hippocampal Place Cell Activity by Single-Cell Stimulation in Freely Moving Mice.

Roxana Zeraati, Maria Diamantaki, Philipp Berens, 2018, Cell reports.

Probing and predicting ganglion cell responses to smooth electrical stimulation in healthy and blind mouse retina

Jonathan Oesterle, Philipp Berens, Larissa Höfling, 2019, Scientific Reports.

MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space

Philipp Berens, Sophie Laturnus, Philipp Berens, 2021, bioRxiv.

Faster processing of moving compared to flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion

Alexander S. Ecker, Matthias Bethge, Xaq Pitkow, 2015, bioRxiv.

Faster processing of moving compared to flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion

Alexander S. Ecker, Matthias Bethge, Xaq Pitkow, 2015 .

Macaque Monkeys Perceive the Flash Lag Illusion

Alexander S. Ecker, Philipp Berens, Andreas S. Tolias, 2013, PloS one.

Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion.

Alexander S. Ecker, Matthias Bethge, Xaq Pitkow, 2018, Journal of neurophysiology.

Community-based benchmarking improves spike inference from two-photon calcium imaging data

Srinivas C. Turaga, Timothy A. Machado, Patrick J. Mineault, 2017, bioRxiv.

Compound models and Pearson residuals for normalization of single-cell RNA-seq data without UMIs

Philipp Berens, D. Kobak, L. Hartmanis, 2023, bioRxiv.

Sparse activity of identified dentate granule cells during spatial exploration

Philipp Berens, Andrea Burgalossi, Patricia Preston-Ferrer, 2016, eLife.

Manipulating Hippocampa l Place Cell Activity by Single-Cell Stimulation in Freely Moving Mice Graphical

Philipp Berens, Andrea Burgalossi, R. Zeraati, 2018 .

Estimating smooth and sparse neural receptive fields with a flexible spline basis

Thomas Euler, Philipp Berens, Yanli Ran, 2021, bioRxiv.

Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering

Philipp Berens, P. Berens, Sacha Sokoloski, 2022, ArXiv.

The landscape of biomedical research

Benjamin M. Schmidt, Philipp Berens, D. Kobak, 2023, bioRxiv.

Two-dimensional visualization of large document libraries using t-SNE

Philipp Berens, D. Kobak, Rita González-Márquez, 2022, TAG-ML.

A Fast and Simple Population Code for Orientation in Primate V1

Wei Ji Ma, Alexander S. Ecker, Matthias Bethge, 2012, The Journal of Neuroscience.

Bayesian hypothesis testing and experimental design for two-photon imaging data

Katrin Franke, Thomas Euler, Philipp Berens, 2018, bioRxiv.

Correction: Macaque Monkeys Perceive the Flash Lag Illusion

Alexander S. Ecker, Philipp Berens, Andreas S. Tolias, 2013, PLoS ONE.

Author response: Sparse activity of identified dentate granule cells during spatial exploration

Philipp Berens, Andrea Burgalossi, Patricia Preston-Ferrer, 2016 .

Response to Comment on “Principles of connectivity among morphologically defined cell types in adult neocortex”

Alexander S. Ecker, George H. Denfield, Saumil S. Patel, 2016, Science.

Sparse Bottleneck Networks for Exploratory Analysis and Visualization of Neural Patch-seq Data pdf

Philipp Berens, Dmitry Kobak, Yves Bernaerts, 2020, ArXiv.

Human-level saccade detection performance using deep neural networks

Ziad M. Hafed, Marie E Bellet, Philipp Berens, 2018, bioRxiv.

Spikes in Mammalian Bipolar Cells Support Temporal Layering of the Inner Retina

M. Bethge, Philipp Berens, Thomas Euler, 2013, Current Biology.

Plasticity of neuronal dynamics in the lateral habenula for cue-punishment associative learning

Philipp Berens, Andrea Burgalossi, R. Paolicelli, 2023, Molecular psychiatry.

Neurometric function analysis of short-term population codes

Alexander S. Ecker, Matthias Bethge, Philipp Berens, 2009 .