D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 30 Citations 8,879 41 World Ranking 5822 National Ranking 468

Overview

What is she best known for?

The fields of study she is best known for:

  • Neuroscience
  • Neuron
  • Visual cortex

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.

Her most cited work include:

  • Long-term, high-resolution imaging in the mouse neocortex through a chronic cranial window (656 citations)
  • Long-term, high-resolution imaging in the mouse neocortex through a chronic cranial window (656 citations)
  • Functional specificity of local synaptic connections in neocortical networks (588 citations)

What are the main themes of her work throughout her whole career to date?

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.

She most often published in these fields:

  • Neuroscience (106.38%)
  • Visual cortex (100.00%)
  • Sensory system (57.45%)

What were the highlights of her more recent work (between 2018-2021)?

  • Artificial intelligence (17.02%)
  • Visual perception (36.17%)
  • Visual cortex (100.00%)

In recent papers she was focusing on the following fields of study:

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.

Between 2018 and 2021, her most popular works were:

  • A standardized and reproducible method to measure decision-making in mice (19 citations)
  • Standardized and reproducible measurement of decision-making in mice (13 citations)
  • Database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging (4 citations)

In her most recent research, the most cited papers focused on:

  • Neuroscience
  • Neuron
  • Visual cortex

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.

Best Publications

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)

801 Citations

Functional specificity of local synaptic connections in neocortical networks

Ho Ko;Sonja B. Hofer;Bruno Pichler;Bruno Pichler;Katherine A. Buchanan.
Nature (2011)

697 Citations

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)

532 Citations

Experience leaves a lasting structural trace in cortical circuits

Sonja B. Hofer;Thomas D. Mrsic-Flogel;Tobias Bonhoeffer;Mark Hübener.
Nature (2009)

520 Citations

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)

461 Citations

The emergence of functional microcircuits in visual cortex

Ho Ko;Lee Cossell;Chiara Baragli;Jan Antolik;Jan Antolik.
Nature (2013)

343 Citations

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.
Neuron (2007)

341 Citations

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.
Nature (2015)

330 Citations

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.
Nature (2015)

320 Citations

Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex.

Jasper Poort;Adil G. Khan;Marius Pachitariu;Abdellatif Nemri;Abdellatif Nemri.
Neuron (2015)

309 Citations

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