Twenty-one neuroscientists within Harvard's Neuroscience Program request continued funding for six pre-doctoral positions within our. Training focuses on the study of visual pathways from retina to brain, and cellular, molecular and developmental neurobiology of the visual system. The faculty are distributed throughout the university. Eleven faculty members are in basic science departments at the Medical School, six are in hospital based laboratories, and four are in the Faculty of Arts and Sciences. Over the past 15 years, Harvard University has greatly expanded the number faculty members who study the molecular, developmental, and neural-systems approaches to visual science. Students can choose laboratories among a large community of vision researchers, most of whom are affiliated with the NEI Core Grant in Vision research. The new goal of the Visual Neuroscience Training Program is to build a larger, coherent group of students who have a sense of community based in this Harvard-wide vision community, and who are trained by its faculty. The grant will support three students each in their second and third years, after they have chosen a dissertation lab, but advanced students remain actively involved with the program. This creates a large cohort of affiliated students. We train and supervise these students with courses, thesis committees, seminars, symposia, a Training Grant retreat, and our """"""""Systems-Vision"""""""" journal club. Thus throughout their graduate careers, trainees interact with the faculty and with each other. Many vision scientists visit Harvard every year to give seminars;trainees at all levels interact with them over lunch and in lab visits. Through these activities, we will help train a new generation of vision scientists whose scientific careers will help us understand all aspects of the visual system: development, information processing, and disease.
| Ing-Esteves, Samantha; Kostadinov, Dimitar; Marocha, Julie et al. (2018) Combinatorial Effects of Alpha- and Gamma-Protocadherins on Neuronal Survival and Dendritic Self-Avoidance. J Neurosci 38:2713-2729 |
| Gómez-Laberge, Camille; Smolyanskaya, Alexandra; Nassi, Jonathan J et al. (2016) Bottom-Up and Top-Down Input Augment the Variability of Cortical Neurons. Neuron 91:540-547 |
| Trott, Alexander R; Born, Richard T (2015) Input-gain control produces feature-specific surround suppression. J Neurosci 35:4973-82 |
| Ruff, Douglas A; Born, Richard T (2015) Feature attention for binocular disparity in primate area MT depends on tuning strength. J Neurophysiol 113:1545-55 |
| Born, Richard T; Trott, Alexander R; Hartmann, Till S (2015) Cortical magnification plus cortical plasticity equals vision? Vision Res 111:161-9 |
| Kostadinov, Dimitar; Sanes, Joshua R (2015) Protocadherin-dependent dendritic self-avoidance regulates neural connectivity and circuit function. Elife 4: |
| Hauser, Jessica L; Liu, Xiaojin; Litvina, Elizabeth Y et al. (2014) Prolonged synaptic currents increase relay neuron firing at the developing retinogeniculate synapse. J Neurophysiol 112:1714-28 |
| Histed, Mark H; Ni, Amy M; Maunsell, John H R (2013) Insights into cortical mechanisms of behavior from microstimulation experiments. Prog Neurobiol 103:115-30 |
| Fitzgerald, Jamie K; Swaminathan, Sruthi K; Freedman, David J (2012) Visual categorization and the parietal cortex. Front Integr Neurosci 6:18 |
| Schwartz, Daniel; Chou, Michael F; Church, George M (2009) Predicting protein post-translational modifications using meta-analysis of proteome scale data sets. Mol Cell Proteomics 8:365-79 |
Showing the most recent 10 out of 38 publications
