The scientist’s investigation covers issues in Visual cortex, Neuroscience, Sensory system, Neuron and Anatomy. Her Visual cortex research is multidisciplinary, relying on both Regeneration and Nervous system. Sonja B. Hofer studies Excitatory postsynaptic potential which is a part of Neuroscience.
Her study in Sensory system is interdisciplinary in nature, drawing from both Cerebral cortex, Axon, Premovement neuronal activity and Dendrite. Sonja B. Hofer has researched Neuron in several fields, including Stimulus, Sensory cortex and Optogenetics. Her Anatomy research incorporates elements of Biophysics, Monocular deprivation and Monocular vision.
Sonja B. Hofer spends much of her time researching Neuroscience, Visual cortex, Sensory system, Visual perception and Stimulus. Her Neuroscience course of study focuses on Developmental plasticity and Metaplasticity and Ocular dominance. The Visual cortex study combines topics in areas such as Neuroplasticity, Sensory processing and Excitatory postsynaptic potential.
Her biological study spans a wide range of topics, including Neocortex, Electrophysiology and Brain mapping. Her studies in Sensory system integrate themes in fields like Cerebral cortex, Visual system, Anatomy and Thalamus. In her study, Sensory Receptor Cells and Sensory cortex is inextricably linked to Optogenetics, which falls within the broad field of Stimulus.
Her scientific interests lie mostly in Artificial intelligence, Visual perception, Visual cortex, Neuroscience and Sensory system. Her work on Ground truth and Deep learning as part of general Artificial intelligence research is often related to Rodent and Cascade, thus linking different fields of science. Sonja B. Hofer integrates several fields in her works, including Rodent, Visual threshold and Stimulus.
The Visual perception study which covers Thalamus that intersects with Visual processing. Her Visual cortex study combines topics in areas such as Functional connectivity and Excitatory postsynaptic potential. Sonja B. Hofer studies Cortical neurons which is a part of Neuroscience.
Her primary areas of study are Artificial intelligence, Machine learning, Rodent, Stimulus and Visual threshold. Her Artificial intelligence study typically links adjacent topics like Database. She interconnects Resampling and Inference in the investigation of issues within Database.
Along with Noise, other disciplines of study including Deep learning, Cascade and Ground truth are integrated into her research.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Long-term, high-resolution imaging in the mouse neocortex through a chronic cranial window
Anthony Holtmaat;Anthony Holtmaat;Tobias Bonhoeffer;David K Chow;Jyoti Chuckowree.
Nature Protocols (2009)
Functional specificity of local synaptic connections in neocortical networks
Ho Ko;Sonja B. Hofer;Bruno Pichler;Bruno Pichler;Katherine A. Buchanan.
A genetically encoded calcium indicator for chronic in vivo two-photon imaging
Marco Mank;Alexandre Ferrão Santos;Stephan Direnberger;Thomas D Mrsic-Flogel.
Nature Methods (2008)
Experience leaves a lasting structural trace in cortical circuits
Sonja B. Hofer;Thomas D. Mrsic-Flogel;Tobias Bonhoeffer;Mark Hübener.
Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex.
Sonja B Hofer;Ho Ko;Bruno Pichler;Bruno Pichler;Joshua T Vogelstein.
Nature Neuroscience (2011)
The emergence of functional microcircuits in visual cortex
Ho Ko;Lee Cossell;Chiara Baragli;Jan Antolik;Jan Antolik.
Homeostatic Regulation of Eye-Specific Responses in Visual Cortex during Ocular Dominance Plasticity
Thomas D. Mrsic-Flogel;Sonja B. Hofer;Kenichi Ohki;R. Clay Reid.
Functional organization of excitatory synaptic strength in primary visual cortex
Lee Cossell;Lee Cossell;Maria Florencia Iacaruso;Maria Florencia Iacaruso;Dylan R. Muir;Rachael Houlton.
Diverse coupling of neurons to populations in sensory cortex
Michael Okun;Michael Okun;Michael Okun;Nicholas A. Steinmetz;Lee Cossell;Lee Cossell;M. Florencia Iacaruso;M. Florencia Iacaruso.
Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex.
Jasper Poort;Adil G. Khan;Marius Pachitariu;Abdellatif Nemri;Abdellatif Nemri.
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