Spectral Characteristics of Phase Sensitivity and Discharge Rate of Neurons in the Ascending Tectofugal Visual System
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{"title"=>"Spectral characteristics of phase sensitivity and discharge rate of neurons in the ascending tectofugal visual system", "type"=>"journal", "authors"=>[{"first_name"=>"Marek", "last_name"=>"Wypych", "scopus_author_id"=>"6603591150"}, {"first_name"=>"Attila", "last_name"=>"Nagy", "scopus_author_id"=>"35322835000"}, {"first_name"=>"Gabriela", "last_name"=>"Mochol", "scopus_author_id"=>"34877489700"}, {"first_name"=>"Andrzej", "last_name"=>"Foik", "scopus_author_id"=>"56520283000"}, {"first_name"=>"György", "last_name"=>"Benedek", "scopus_author_id"=>"7103264177"}, {"first_name"=>"Wioletta J.", "last_name"=>"Waleszczyk", "scopus_author_id"=>"6602447394"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84928215131", "pmid"=>"25083715", "sgr"=>"84928215131", "doi"=>"10.1371/journal.pone.0103557", "issn"=>"19326203", "pui"=>"373776113"}, "id"=>"85e19a17-7104-3454-853f-cf9d20176927", "abstract"=>"Drifting gratings can modulate the activity of visual neurons at the temporal frequency of the stimulus. In order to characterize the temporal frequency modulation in the cat's ascending tectofugal visual system, we recorded the activity of single neurons in the superior colliculus, the suprageniculate nucleus, and the anterior ectosylvian cortex during visual stimulation with drifting sine-wave gratings. In response to such stimuli, neurons in each structure showed an increase in firing rate and/or oscillatory modulated firing at the temporal frequency of the stimulus (phase sensitivity). To obtain a more complete characterization of the neural responses in spatiotemporal frequency domain, we analyzed the mean firing rate and the strength of the oscillatory modulations measured by the standardized Fourier component of the response at the temporal frequency of the stimulus. We show that the spatiotemporal stimulus parameters that elicit maximal oscillations often differ from those that elicit a maximal discharge rate. Furthermore, the temporal modulation and discharge-rate spectral receptive fields often do not overlap, suggesting that the detection range for visual stimuli provided jointly by modulated and unmodulated response components is larger than the range provided by a one response component.", "link"=>"http://www.mendeley.com/research/spectral-characteristics-phase-sensitivity-discharge-rate-neurons-ascending-tectofugal-visual-system", "reader_count"=>8, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Researcher"=>3, "Student > Ph. D. Student"=>2, "Student > Master"=>1, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Researcher"=>3, "Student > Ph. D. Student"=>2, "Student > Master"=>1, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Agricultural and Biological Sciences"=>1, "Neuroscience"=>7}, "reader_count_by_subdiscipline"=>{"Neuroscience"=>{"Neuroscience"=>7}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}}, "group_count"=>2}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1619162"], "description"=>"<p>A. Raster plot of cell responses to stimulation with sinusoidal gratings drifting in the optimal direction with spatial and temporal frequency (SF and TF) that elicited a maximum discharge rate (F0). Thin vertical line indicates beginning of grating movement. Single response boxed with grey line was used to construct B, C and D. B. Representative peristimulus time histogram (PSTH) of the unit’s single trial response boxed in A. F0 is defined as the mean firing rate of the response averaged over the time of a single stimulus presentation (1 s of stimulus movement). C. The amplitude spectrum computed from the PSTH shown in B. F1 is the amplitude of the response at the TF of the stimulus (red line). The solid horizontal line depicts mean value of the amplitude spectrum (meanFFT), the dashed line indicates one standard deviation above the mean (sdFFT). zF1 is defined as the ratio of the difference between F1 and meanFFT over the standard deviation from the mean of the spectrum. A value of zF1>1 indicates the presence of modulations. D. Fundamental Fourier components of the neuron’s response to single stimulus trial. Each of the five dots on the complex plane represent fundamental Fourier component of the response to each single, out of five, stimulus cycle of the within one 1 s of grating movement (extracted from single response boxed in A). E–H. Raster plot, PSTH, amplitude spectrum and Fundamental Fourier components of responses to stimulation with a sinusoidal grating drifting in the optimal direction with a spatiotemporal frequency combination that elicited the strongest modulations. Conventions as in A–D. In G notice that zF1, indicating the strength of modulation, is higher than for the response shown in A–D despite a lower firing rate. Dot clustering in the areas distant from the 0 point in D and H indicates the phase sensitivity of the responses. I. Contour plot of the discharge-rate spectral receptive field (RF) of a Sg cell. The surface was fitted to the values of mean discharge rates (F0) obtained in response to grating moving with the SFs and TFs indicated by the black dots. Response strength is color coded according to the scale on the right. Note that the increased firing rate in response to the moving grating is present over a limited range of stimulus SFs and TFs. J. Analogous contour plot of the spectral RF for the same Sg cell constructed by surface fitting of the mean strength of modulations (zF1). Note that the strongest modulations are elicited by stimulus parameters that hardly evoke any increase in firing rate (I). Open circles in I and J represent stimulus parameters evoking highest discharge rate (raster plot of the response is shown in A). The cross indicates stimulus parameters inducing the strongest modulation (raster plot in E). K, L. Temporal (K) and spatial (L) frequency tuning curves obtained from cross-sections of the F0 and zF1 spectral RFs shown in I and J. Blue lines correspond to cross-sections of the discharge-rate RF (I) and the red lines correspond to cross-sections of the zF1 RF (J). Cross-sections were done through the point of the maximum discharge-rate response (marked with circle in I) and through the point of maximum modulation (cross in J).</p>", "links"=>[], "tags"=>["Computational biology", "computational neuroscience", "Coding mechanisms", "neuroscience", "Sensory systems", "Visual system", "neural networks", "Sensory perception", "physiology", "electrophysiology", "Model organisms", "Animal models", "sg", "discharge-rate", "modulatory", "responses", "sinusoidal", "drifting"], "article_id"=>1125222, "categories"=>["Biological Sciences"], "users"=>["Marek Wypych", "Attila Nagy", "Gabriela Mochol", "Andrzej Foik", "György Benedek", "Wioletta J. Waleszczyk"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103557.g002", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spectral_profile_of_a_Sg_cell_showing_changes_in_discharge_rate_and_modulatory_responses_to_sinusoidal_drifting_gratings_/1125222", "title"=>"Spectral profile of a Sg cell showing changes in discharge-rate and modulatory responses to sinusoidal drifting gratings.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-01 03:53:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/1619173"], "description"=>"<p>Shown are distributions of the optimal temporal (left column) and spatial (right column) frequencies of the gratings that evoked maximal discharge rates for neurons with unmodulated (dark grey, R<sub>um</sub>), modulated (medium grey, R<sub>mod</sub>) responses, and those that evoked a maximal zF1 for neurons with modulated responses (light grey, zF1<sub>mod</sub>). Note differences in the range of SF axes for different structures.</p>", "links"=>[], "tags"=>["Computational biology", "computational neuroscience", "Coding mechanisms", "neuroscience", "Sensory systems", "Visual system", "neural networks", "Sensory perception", "physiology", "electrophysiology", "Model organisms", "Animal models", "temporal", "spatial", "frequencies", "gratings", "maximized", "discharge"], "article_id"=>1125233, "categories"=>["Biological Sciences"], "users"=>["Marek Wypych", "Attila Nagy", "Gabriela Mochol", "Andrzej Foik", "György Benedek", "Wioletta J. Waleszczyk"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103557.g004", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distributions_of_temporal_and_spatial_frequencies_of_gratings_that_maximized_discharge_rate_and_modulation_/1125233", "title"=>"Distributions of temporal and spatial frequencies of gratings that maximized discharge rate and modulation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-01 03:53:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/1619167"], "description"=>"<p>Spectral spatiotemporal RFs computed from firing rate are shown in the left column and those for the strength of modulations determined by zF1 in the right column. The spectral RFs were constructed basing on responses recorded from neurons in the SCs (A, B), SCi (C, D), Sg (E, F) and AES (G, H). Conventions as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103557#pone-0103557-g002\" target=\"_blank\">Figures 2 I and J</a>.</p>", "links"=>[], "tags"=>["Computational biology", "computational neuroscience", "Coding mechanisms", "neuroscience", "Sensory systems", "Visual system", "neural networks", "Sensory perception", "physiology", "electrophysiology", "Model organisms", "Animal models", "spectral", "spatiotemporal", "rfs", "firing"], "article_id"=>1125227, "categories"=>["Biological Sciences"], "users"=>["Marek Wypych", "Attila Nagy", "Gabriela Mochol", "Andrzej Foik", "György Benedek", "Wioletta J. Waleszczyk"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103557.g003", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Examples_of_spectral_spatiotemporal_RFs_for_firing_rate_and_strength_of_modulation_/1125227", "title"=>"Examples of spectral spatiotemporal RFs for firing rate and strength of modulation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-01 03:53:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/1619181"], "description"=>"<p>Description of data used in the present study and information of its usage in previous papers.</p>", "links"=>[], "tags"=>["Computational biology", "computational neuroscience", "Coding mechanisms", "neuroscience", "Sensory systems", "Visual system", "neural networks", "Sensory perception", "physiology", "electrophysiology", "Model organisms", "Animal models", "usage"], "article_id"=>1125241, "categories"=>["Biological Sciences"], "users"=>["Marek Wypych", "Attila Nagy", "Gabriela Mochol", "Andrzej Foik", "György Benedek", "Wioletta J. Waleszczyk"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103557.t001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Description_of_data_used_in_the_present_study_and_information_of_its_usage_in_previous_papers_/1125241", "title"=>"Description of data used in the present study and information of its usage in previous papers.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-08-01 03:53:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/1619180"], "description"=>"<p>Comparison of mean optimal TF (A), optimal SF (B), optimal velocity (C), TF normalized bandwidths (D) SF normalized bandwidths and (E) mean normalized variability of the fundamental Fourier component (F) for discharge-rate responses in subpopulations of neurons with unmodulated (R<sub>um</sub>) and modulated (R<sub>mod</sub>) responses, and for modulations (zF1<sub>mod</sub>) in a subpopulation with modulated responses. Short grey lines with error bars indicate mean <b>±</b> SEM. Thick black lines mark median values, boxes cover values from first to third quartiles, and black dashed lines show the ranges of all obtained values. In A, notice that for Sg neurons optimal TF for the modulation component was significantly higher than optimal TF for the discharge rate. In B, the only significant difference in optimal SFs was found between zF1 and the discharge rate in SCi. The optimal stimulus velocity for modulation was significantly higher than the optimal velocity for discharge rate for SCi and AES (C). In D, note that in all structures, the mean TF normalized bandwidth was lower for modulation RFs than for discharge rate RFs (significant in all structures). No significant differences were found for SF normalized bandwidths (E). With the exception of the AES, the normalized variability of the fundamental Fourier component in responses maximizing zF1 did not differ significantly from the variability of responses maximizing F0 (F), suggesting that modulations, if they occur, are stable and do not cause an increase in the variability of the responses. The only significant difference in discharge rates between modulated and unmodulated subpopulations was found in the variability of the fundamental Fourier component in the Sg – this was due to the occurrence of bursts in the activity of modulated Sg neurons.</p>", "links"=>[], "tags"=>["Computational biology", "computational neuroscience", "Coding mechanisms", "neuroscience", "Sensory systems", "Visual system", "neural networks", "Sensory perception", "physiology", "electrophysiology", "Model organisms", "Animal models", "discharge-rate", "modulation", "spectral", "spatiotemporal", "rf"], "article_id"=>1125240, "categories"=>["Biological Sciences"], "users"=>["Marek Wypych", "Attila Nagy", "Gabriela Mochol", "Andrzej Foik", "György Benedek", "Wioletta J. Waleszczyk"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103557.g005", "stats"=>{"downloads"=>0, "page_views"=>25, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Population_analysis_of_discharge_rate_and_modulation_spectral_spatiotemporal_RF_profiles_/1125240", "title"=>"Population analysis of discharge-rate and modulation spectral spatiotemporal RF profiles.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-01 03:53:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/1619160"], "description"=>"<p>The simplified schematic diagram shows the afferent and efferent connections of subcortical and cortical structures of the ascending tectofugal visual system. Arrows indicate potential interactions between these structures and the direction of information flow. Structures labeled with bold lettering were examined in the present study. Abbreviations: AES - anterior ectosylvian sulcus, CN – caudate nucleus, SCs, SCi – superficial and intermediate layers of the superior colliculus, respectively, Sg – suprageniculate nucleus of the posterior thalamus.</p>", "links"=>[], "tags"=>["Computational biology", "computational neuroscience", "Coding mechanisms", "neuroscience", "Sensory systems", "Visual system", "neural networks", "Sensory perception", "physiology", "electrophysiology", "Model organisms", "Animal models", "ascending", "tectofugal"], "article_id"=>1125220, "categories"=>["Biological Sciences"], "users"=>["Marek Wypych", "Attila Nagy", "Gabriela Mochol", "Andrzej Foik", "György Benedek", "Wioletta J. Waleszczyk"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103557.g001", "stats"=>{"downloads"=>4, "page_views"=>25, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Flow_of_visual_information_in_the_ascending_tectofugal_system_/1125220", "title"=>"Flow of visual information in the ascending tectofugal system.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-01 03:53:11"}

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