Nicholas A. Lesica

2.8k total citations
42 papers, 1.8k citations indexed

About

Nicholas A. Lesica is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Nicholas A. Lesica has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 9 papers in Sensory Systems. Recurrent topics in Nicholas A. Lesica's work include Neural dynamics and brain function (30 papers), Hearing Loss and Rehabilitation (12 papers) and Visual perception and processing mechanisms (11 papers). Nicholas A. Lesica is often cited by papers focused on Neural dynamics and brain function (30 papers), Hearing Loss and Rehabilitation (12 papers) and Visual perception and processing mechanisms (11 papers). Nicholas A. Lesica collaborates with scholars based in United Kingdom, United States and Germany. Nicholas A. Lesica's co-authors include Garrett B. Stanley, Benedikt Grothe, José‐Manuel Alonso, Jianzhong Jin, Chong Weng, Chun-I Yeh, Daniel A. Butts, Dmitry R. Lyamzin, Thomas D. Mrsic‐Flogel and Joshua T Vogelstein and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Nicholas A. Lesica

39 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicholas A. Lesica United Kingdom 20 1.6k 864 239 227 177 42 1.8k
Heather L. Read United States 22 1.8k 1.2× 538 0.6× 416 1.7× 124 0.5× 82 0.5× 42 2.1k
Jennifer F. Linden United Kingdom 22 1.5k 1.0× 440 0.5× 371 1.6× 93 0.4× 171 1.0× 39 1.8k
Ben D. B. Willmore United Kingdom 21 1.2k 0.8× 390 0.5× 215 0.9× 93 0.4× 76 0.4× 34 1.5k
Christian Leibold Germany 24 1.4k 0.9× 1.1k 1.2× 315 1.3× 191 0.8× 182 1.0× 97 1.8k
Bernhard Englitz Netherlands 20 702 0.4× 374 0.4× 274 1.1× 109 0.5× 127 0.7× 49 1.1k
Monty A. Escabı́ United States 23 1.6k 1.0× 501 0.6× 287 1.2× 100 0.4× 37 0.2× 46 1.8k
Steven M. Chase United States 26 2.5k 1.6× 1.5k 1.7× 90 0.4× 458 2.0× 69 0.4× 57 2.7k
Holger Schulze Germany 26 1.3k 0.8× 196 0.2× 803 3.4× 59 0.3× 98 0.6× 76 1.8k
Marlene R. Cohen United States 22 3.2k 2.1× 1.4k 1.6× 187 0.8× 212 0.9× 164 0.9× 43 3.4k
Andrew Y. Y. Tan United States 13 1.0k 0.6× 679 0.8× 188 0.8× 102 0.4× 195 1.1× 18 1.2k

Countries citing papers authored by Nicholas A. Lesica

Since Specialization
Citations

This map shows the geographic impact of Nicholas A. Lesica's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicholas A. Lesica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas A. Lesica more than expected).

Fields of papers citing papers by Nicholas A. Lesica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas A. Lesica. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicholas A. Lesica. The network helps show where Nicholas A. Lesica may publish in the future.

Co-authorship network of co-authors of Nicholas A. Lesica

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas A. Lesica. A scholar is included among the top collaborators of Nicholas A. Lesica based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas A. Lesica. Nicholas A. Lesica is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lesica, Nicholas A., et al.. (2024). Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities. IEEE Transactions on Biomedical Engineering. 71(11). 3098–3110.
2.
3.
Lesica, Nicholas A., et al.. (2022). Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. 1–9. 14 indexed citations
4.
Wilson, Blake S., Debara L. Tucci, David A. Moses, et al.. (2022). Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences. Journal of the Association for Research in Otolaryngology. 23(3). 319–349. 16 indexed citations
5.
Lam, Chi Chung, et al.. (2021). Compression and amplification algorithms in hearing aids impair the selectivity of neural responses to speech. Nature Biomedical Engineering. 6(6). 717–730. 10 indexed citations
6.
Lesica, Nicholas A.. (2018). Why Do Hearing Aids Fail to Restore Normal Auditory Perception?. Trends in Neurosciences. 41(4). 174–185. 94 indexed citations
7.
Keller, Andreas, Björn M. Kampa, Nicholas A. Lesica, et al.. (2017). Stimulus relevance modulates contrast adaptation in visual cortex. eLife. 6. 32 indexed citations
8.
Pachitariu, Marius, Dmitry R. Lyamzin, Maneesh Sahani, & Nicholas A. Lesica. (2015). State-Dependent Population Coding in Primary Auditory Cortex. Journal of Neuroscience. 35(5). 2058–2073. 108 indexed citations
9.
Lyamzin, Dmitry R., Samuel J. Barnes, R. J. Donato, et al.. (2015). Nonlinear Transfer of Signal and Noise Correlations in Cortical Networks. Journal of Neuroscience. 35(21). 8065–8080. 17 indexed citations
10.
Schnupp, Jan W. H., Jose A. Garcia‐Lazaro, & Nicholas A. Lesica. (2015). Periodotopy in the gerbil inferior colliculus: local clustering rather than a gradient map. Frontiers in Neural Circuits. 9. 37–37. 35 indexed citations
11.
Lyamzin, Dmitry R., Jose A. Garcia‐Lazaro, & Nicholas A. Lesica. (2012). Analysis and modelling of variability and covariability of population spike trains across multiple time scales. Network Computation in Neural Systems. 23(1-2). 76–103. 3 indexed citations
12.
Lesica, Nicholas A., et al.. (2011). The Effects of Interaural Time Difference and Intensity on the Coding of Low-Frequency Sounds in the Mammalian Midbrain. Journal of Neuroscience. 31(10). 3821–3827. 7 indexed citations
13.
Hofer, Sonja B., Ho Ko, Bruno Pichler, et al.. (2011). Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex. Nature Neuroscience. 14(8). 1045–1052. 334 indexed citations
14.
Lesica, Nicholas A., et al.. (2010). Population Coding of Interaural Time Differences in Gerbils and Barn Owls. Journal of Neuroscience. 30(35). 11696–11702. 43 indexed citations
15.
Lyamzin, Dmitry R., Jakob H. Macke, & Nicholas A. Lesica. (2010). Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise Correlations. Frontiers in Computational Neuroscience. 4. 144–144. 12 indexed citations
16.
Hofer, Sonja B., et al.. (2010). Optimization of population decoding with distance metrics. Neural Networks. 23(6). 728–732. 1 indexed citations
17.
Desbordes, Gaëlle, Jianzhong Jin, Chong Weng, et al.. (2008). Timing Precision in Population Coding of Natural Scenes in the Early Visual System. PLoS Biology. 6(12). e324–e324. 53 indexed citations
18.
Lesica, Nicholas A. & Benedikt Grothe. (2008). Efficient Temporal Processing of Naturalistic Sounds. PLoS ONE. 3(2). e1655–e1655. 51 indexed citations
19.
Lesica, Nicholas A. & Garrett B. Stanley. (2005). Improved tracking of time-varying encoding properties of visual neurons by extended recursive least-squares. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 13(2). 194–200. 4 indexed citations
20.
Lesica, Nicholas A. & Garrett B. Stanley. (2004). Encoding of Natural Scene Movies by Tonic and Burst Spikes in the Lateral Geniculate Nucleus. Journal of Neuroscience. 24(47). 10731–10740. 157 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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