Academic literature on the topic 'Primary visual cortex'

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Journal articles on the topic "Primary visual cortex"

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Stern, Peter. "Another primary visual cortex." Science 363, no. 6422 (2019): 39.16–41. http://dx.doi.org/10.1126/science.363.6422.39-p.

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Tong, Frank. "Primary visual cortex and visual awareness." Nature Reviews Neuroscience 4, no. 3 (2003): 219–29. http://dx.doi.org/10.1038/nrn1055.

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Beltramo, Riccardo. "A new primary visual cortex." Science 370, no. 6512 (2020): 46.2–46. http://dx.doi.org/10.1126/science.abe1482.

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Stern, Peter. "Rethinking primary visual cortex function." Science 364, no. 6447 (2019): 1247.14–1249. http://dx.doi.org/10.1126/science.364.6447.1247-n.

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Chan, Jane W. "The Cat Primary Visual Cortex." Journal of Neuro-Ophthalmology 26, no. 1 (2006): 70. http://dx.doi.org/10.1097/01.wno.0000206242.42410.de.

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Pigarev, I., D. Chelvanayagam, J. Cappello, and T. Vidyasagar. "Primary visual cortex and memory." Experimental Brain Research 140, no. 3 (2001): 311–17. http://dx.doi.org/10.1007/s002210100825.

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Posner, M. I., and C. D. Gilbert. "Attention and primary visual cortex." Proceedings of the National Academy of Sciences 96, no. 6 (1999): 2585–87. http://dx.doi.org/10.1073/pnas.96.6.2585.

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Konovenko, Nadiia, and Valentin Lychagin. "Invariants for primary visual cortex." Differential Geometry and its Applications 60 (October 2018): 156–73. http://dx.doi.org/10.1016/j.difgeo.2018.04.009.

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Sengpiel, Frank, and Mark Hübener. "Visual perception: Spotlight on the primary visual cortex." Current Biology 9, no. 9 (1999): R318—R321. http://dx.doi.org/10.1016/s0960-9822(99)80202-4.

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Silvanto, Juha. "Is primary visual cortex necessary for visual awareness?" Trends in Neurosciences 37, no. 11 (2014): 618–19. http://dx.doi.org/10.1016/j.tins.2014.09.006.

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Dissertations / Theses on the topic "Primary visual cortex"

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Fotheringhame, David K. "Temporal coding in primary visual cortex." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339357.

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Nauhaus, Ian Michael. "Functional connectivity in primary visual cortex." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1692099811&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Thulin, Nilsson Linnea. "The Role of Primary Visual Cortex in Visual Awareness." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11623.

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Despite its great complexity, a great deal is known about the organization and information-processing properties of the visual system. However, the neural correlates of visual awareness are not yet understood. By studying patients with blindsight, the primary visual cortex (V1) has attracted a lot of attention recently. Although this brain area appears to be important for visual awareness, its exact role is still a matter of debate. Interactive models propose a direct role for V1 in generating visual awareness through recurrent processing. Hierarchal models instead propose that awareness is ge
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Krug, Kristine. "Ordering geniculate input into primary visual cortex." Thesis, University of Oxford, 1997. https://ora.ox.ac.uk/objects/uuid:b342ffae-4a31-4171-94a6-83cb516e83fe.

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Precise point-to-point connectivity is the basis of ordered maps of the visual field in the brain. One point in the visual field is represented at one locus in the dLGN and one locus in primary visual cortex. A fundamental problem in the development of most sensory systems is the creation of the topographic projections which underlie these maps. Mechanisms ranging from ordered ingrowth of fibres, through chemical guidance of axons to sculpting of the map from an early exuberant input have been proposed. However, we know little about how ordered maps are created beyond the first relay. What we
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Hesam, Shariati Nastaran. "A functional model for primary visual cortex." Thesis, The University of Sydney, 2012. http://hdl.handle.net/2123/8753.

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Many neurons in mammalian primary visual cortex have properties such as sharp tuning for contour orientation, strong selectivity for motion direction, and insensitivity to stimulus polarity, that are not shared with their sub-cortical counterparts. Successful models have been developed for a number of these properties but in one case, direction selectivity, there is no consensus about underlying mechanisms. This thesis describes a model that accounts for many of the empirical observations concerning direction selectivity. The model comprises a single column of cat primary visual cortex and a s
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Rudiger, Philipp John Frederic. "Development and encoding of visual statistics in the primary visual cortex." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/25469.

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How do circuits in the mammalian cerebral cortex encode properties of the sensory environment in a way that can drive adaptive behavior? This question is fundamental to neuroscience, but it has been very difficult to approach directly. Various computational and theoretical models can explain a wide range of phenomena observed in the primary visual cortex (V1), including the anatomical organization of its circuits, the development of functional properties like orientation tuning, and behavioral effects like surround modulation. However, so far no model has been able to bridge these levels of de
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De, Pasquale Roberto. "Visual discrimination learning and LTP-like changes in primary visual cortex." Doctoral thesis, Scuola Normale Superiore, 2009. http://hdl.handle.net/11384/85939.

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Spacek, Martin A. "Characterizing patches of primary visual cortex with minimal bias." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/53975.

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The brain is highly complex, and studying it requires simplifying experiments, analyses, and theories. New techniques can capture more of the brain's complexity while reducing biases in our understanding of how it works. This thesis describes experiments in primary visual cortex of anesthetized cat, using high-density silicon multisite electrodes to simultaneously record from as many neurons as possible across all cortical layers, thereby characterizing local cortical populations with minimal bias. Recordings were maintained for many hours at a time, and included both spontaneous and stimulus-
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Ranson, Adam. "Development and plasticity of the mouse primary visual cortex." Thesis, Cardiff University, 2011. http://orca.cf.ac.uk/54216/.

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A strain difference was observed in juvenile OD plasticity between C57BL/6J and C57BL/6JOlaHsd mice whereby open eye 'homeostatic' potentiation was completely absent in the C57BL/6JOlaHsd strain. This was accompanied by an absence of dark exposure induced synaptic scaling as measured <italic>ex vivo.</italic> In contrast in adulthood both strains showed comparable open eye potentiation, suggesting a mechanistic difference between juvenile and adult plasticity. Preliminary data suggests that while juvenile open eye potentiation is homeostatic, in adulthood it may be more LTP like and dependent
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Edwards, Grace. "Predictive feedback to the primary visual cortex during saccades." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/5861/.

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Perception of our sensory environment is actively constructed from sensory input and prior expectations. These expectations are created from knowledge of the world through semantic memories, spatial and temporal contexts, and learning. Multiple frameworks have been created to conceptualise this active perception, these frameworks will be further referred to as inference models. There are three elements of inference models which have prevailed in these frameworks. Firstly, the presence of internal generative models for the visual environment, secondly feedback connections which project predicti
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Books on the topic "Primary visual cortex"

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Peters, Alan, and Kathleen S. Rockland, eds. Primary Visual Cortex in Primates. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-9628-5.

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1929-, Peters Alan, and Rockland, Kathleen Linda Skiba, 1947-, eds. Primary visual cortex in primates. Plenum Press, 1994.

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1929-, Peters Alan, ed. The cat primary visual cortex. Academic Press, 2002.

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Suner, Ivan Jose. Influences of the lateral geniculate nucleus in the specification of primary visual cortex in macaca mulatta. s.n.], 1992.

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service), SpringerLink (Online, ed. Circuits in the Brain: A Model of Shape Processing in the Primary Visual Cortex. Springer-Verlag New York, 2009.

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Rubin, Daniel Brett. A Novel Circuit Model of Contextual Modulation and Normalization in Primary Visual Cortex. [publisher not identified], 2012.

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Ziskind, Avi. Neurons in Cat Primary Visual Cortex cluster by degree of tuning but not by absolute spatial phase or temporal response phase. [publisher not identified], 2013.

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Peters, Alan, and Bertram Payne. Cat Primary Visual Cortex. Elsevier Science & Technology Books, 2001.

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The Cat Primary Visual Cortex. Elsevier, 2002. http://dx.doi.org/10.1016/b978-0-12-552104-8.x5000-7.

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(Editor), Bertram Payne, and Alan Peters (Editor), eds. The Cat Primary Visual Cortex. Academic Press, 2001.

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Book chapters on the topic "Primary visual cortex"

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Jinrong, Li. "Primary Visual Cortex." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_344-1.

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Jinrong, Li. "Primary Visual Cortex." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7874-4_344.

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Skalicky, Simon E. "The Primary Visual Cortex." In Ocular and Visual Physiology. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-846-5_14.

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Kuljis, Rodrigo O. "The Human Primary Visual Cortex." In Cerebral Cortex. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-9628-5_12.

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Peters, Alan. "Number of Neurons and Synapses in Primary Visual Cortex." In Cerebral Cortex. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-6616-8_7.

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Peters, Alan. "The Organization of the Primary Visual Cortex in the Macaque." In Cerebral Cortex. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-9628-5_1.

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Conway, Bevil R. "Segregated processing streams in primary visual cortex." In neural mechanisms of Color Vision. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-5953-2_4.

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Casagrande, Vivien A., and Jon H. Kaas. "The Afferent, Intrinsic, and Efferent Connections of Primary Visual Cortex in Primates." In Cerebral Cortex. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-9628-5_5.

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Vascon, Sebastiano, Ylenia Parin, Eis Annavini, Mattia D’Andola, Davide Zoccolan, and Marcello Pelillo. "Characterization of Visual Object Representations in Rat Primary Visual Cortex." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11015-4_43.

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Li, Zhaoping. "Pop-Out Theory: Segmentation Without Classification by the Primary Visual Cortex." In Visual Attention Mechanisms. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0111-4_7.

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Conference papers on the topic "Primary visual cortex"

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Feng, Tao, Yongyu Cheng, Shaomin Zhang, and Minmin Wang. "The LFP Responses in Primary Visual Cortex to Light Flickering Stimulation." In 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2024. https://doi.org/10.1109/biocas61083.2024.10798125.

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Wu, Jimin, Yuzhi Chen, Ashok Veeraraghavan, Eyal Seidemann, and Jacob Robinson. "Bio-FlatScopeNHP: a Miniaturized Lensless Microscope for Mesoscopic Calcium Imaging in Head-Unrestrained Non-Human Primates." In Optics and the Brain. Optica Publishing Group, 2024. https://doi.org/10.1364/brain.2024.bs5c.6.

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We describe a miniaturized lensless microscope for mesoscopic calcium imaging in head-unrestrained non-human primates (NHPs), and show the extracted orientation columns map from the primary visual cortex (V1) of a head-unrestrained NHP. Full-text article not available; see video presentation
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Günthner, Max F., Santiago A. Cadena, George H. Denfield, et al. "Learning Divisive Normalization in Primary Visual Cortex." In 2019 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1211-0.

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Tran, Thi Diem, Mutsumi Kimura, and Yasuhiko Nakashima. "Primary Visual Cortex Inspired Feature Extraction Hardware Model." In 2020 4th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom). IEEE, 2020. http://dx.doi.org/10.1109/sigtelcom49868.2020.9199057.

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Goto, Yoshinobu, Takao Yamasaki, and Shozo Tobimatsu. "Innovation for visual stimuli: From the retina to primary visual cortex." In 2010 IEEE/ICME International Conference on Complex Medical Engineering - CME 2010. IEEE, 2010. http://dx.doi.org/10.1109/iccme.2010.5558856.

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Bouganis, Christos-savvas, Peter K. Cheung, and Li Zhaoping. "FPGA-Accelerated Pre-Attentive Segmentation in Primary Visual Cortex." In 2006 International Conference on Field Programmable Logic and Applications. IEEE, 2006. http://dx.doi.org/10.1109/fpl.2006.311214.

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Maunsell, John H. R. "Motion processing in visual cortex." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.tuj2.

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Many lines of anatomical and physiological evidence have shown that the visual system contains a distinct pathway that is responsible for most motion analysis. In primates this pathway originates in the retinal ganglion cells that send their axons to the magnocellular layers of the lateral geniculate nucleus (LGN). The outputs from the magnocellular LGN layers directly provide the primary excitatory drive to structures like layer 4B in striate cortex and the middle temporal area (MT) in extrastriate cortex. Both of these structures contain a high proportion of neurons that are selective for th
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Li, Ruyi, Ming Ke, Zhanguo Dong, Lubin Wang, and Gang Wang. "Corruption-Robust Deep Convolutional Networks Inspired by Primary Visual Cortex." In 2023 9th International Conference on Computer and Communications (ICCC). IEEE, 2023. http://dx.doi.org/10.1109/iccc59590.2023.10507252.

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Daniela, Coman Andreea, Ionita Silviu, and Lita Ioan. "A Neuronal Model of the Primary Visual Cortex: Simulation of Visual Evoked Potentials." In 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2021. http://dx.doi.org/10.1109/ecai52376.2021.9515133.

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Festa, Dylan, Amir Aschner, Adam Kohn, and Ruben Coen-Cagli. "A Functional Model of Neuronal Response Variability in Primary Visual Cortex." In 2019 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1307-0.

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Reports on the topic "Primary visual cortex"

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KOCH, CHRISTOF. Final Report of LDRD Project Number 34693: Building Conscious Machines Based Upon the Architecture of Visual Cortex in the Primate Brain. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/808594.

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Rodríguez Borda, Nadia del Pilar, and María Isabel Porras Torres. Vivencias de la discapacidad en estudiantes universitarios de la modalidad virtual de la zona centro Boyacá como factor protector en salud pública. Universidad Nacional Abierta y a Distancia - UNAD, 2021. http://dx.doi.org/10.22490/ecisa.4765.

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El objetivo de la presente investigación es Interpretar las vivencias de la discapacidad, a partir de la narrativa de estudiantes universitarios de la modalidad virtual del departamento de Boyacá. Esta investigación se inscribe en el paradigma de naturaleza cualitativa, enfoque hermenéutico. Se seleccionarán a los participantes por bola de nieve o en cadena hasta la saturación teórica. Se recolectará la información por medio de una entrevista a profundidad, no estructurada basada en un derrotero temático afín a las categorías de análisis. Cada entrevista será grabada, transcrita y analizada. P
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Ocampo, José Antonio, Roberto Steiner Sampedro, Mauricio Villamizar Villegas, et al. Informe de la Junta Directiva al Congreso de la República - Marzo de 2023. Banco de la República, 2023. http://dx.doi.org/10.32468/inf-jun-dir-con-rep.3-2023.

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Introducción En 2023 el Banco de la República celebra 100 años de su fundación. Este es un aniversario de gran significado, el cual ofrece la oportunidad de resaltar el aporte que el Banco ha hecho al desarrollo del país. Su trayectoria como garante de la estabilidad monetaria lo ha consolidado como la institución estatal independiente que genera mayor confianza entre los colombianos por su transparencia, capacidad de gestión y el cumplimiento efectivo de las funciones de banca central y culturales encomendadas en la Constitución y la Ley. En una fecha tan importante como esta, la Junta Direct
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Informe MERCOSUR No. 1 (1996). Inter-American Development Bank, 1997. http://dx.doi.org/10.18235/0009480.

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Durante 1996 la macroeconomía de los Estados Parte del MERCOSUR se caracterizó por dostendencias. La primera fue una mejora en su desempeño desde el punto de vista del crecimiento y de lainflación, en un contexto de relativa fragilidad fiscal y externa. La segunda fue una reducción de ladisparidad en el comportamiento del nivel de actividad y los precios, en el contexto de una relativaestabilización de las paridades bilaterales reales. La mayor sincronía de los ciclos económicosnacionales en las dos mayores economías (en contraste con lo que ocurriera en 1991/92 y en 1995),permite anticipar qu
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Allegheny woodrat and eastern small-footed bat inventory: White Rocks ? Cumberland Gap National Historical Park. National Park Service, 2024. http://dx.doi.org/10.36967/2302513.

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Surveys were conducted for the presence of Allegheny woodrats, eastern small-footed bats, and their habitat within Sample Units surrounding potential climbing routes on the White Rocks cliff of Cumberland Gap National Historical Park. White Rocks is a 200-300ft south facing cliff along the Virginia- Kentucky border that contains the typical habitat requirements of both species: rock ledges, outcrops, or a network of fissures and crevices surrounded by forested habitat. The eastern small-footed bat uses this type of habitat primarily during the summer months for roosting while the Allegheny woo
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