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文档列表

08_Week_8-_Learning_from_Supervision_and_Rewards_Rajesh_Rao/01_1-_Neurons_as_Classifiers_and_Supervised_Learning_25-57.mp4 34.3 MB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/03_3-_The_Fascinating_World_of_Recurrent_Networks_25-35.mp4 33.6 MB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/01_1-_Modeling_Connections_between_Neurons_24-28.mp4 32.6 MB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/04_4-_The_Electrical_Personality_of_Neurons_23-02.mp4 32.4 MB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/05_Guest_Lecture-_Eric_Shea-Brown_22-52.mp4 31.8 MB
07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/01_1-_Synaptic_Plasticity_Hebbs_Rule_and_Statistical_Learning_24-17.mp4 31.8 MB
07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/03_3-_Sparse_Coding_and_Predictive_Coding_23-54.mp4 31.6 MB
08_Week_8-_Learning_from_Supervision_and_Rewards_Rajesh_Rao/03_3-_Reinforcement_Learning-_Time_for_Action_19-49.mp4 30.7 MB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/02_2-_Population_Coding_and_Bayesian_Estimation_24-44.mp4 29.6 MB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/02_2-_Introduction_to_Network_Models_21-47.mp4 28.7 MB
08_Week_8-_Learning_from_Supervision_and_Rewards_Rajesh_Rao/04_Guest_Lecture-_Eb_Fetz_on_Bidirectional_Brain-Computer_Interfaces_20-06.mp4 28.6 MB
07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/02_2-_Introduction_to_Unsupervised_Learning_22-06.mp4 28.5 MB
04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/03_3-_Coding_Principles_19-09.mp4 24.7 MB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/04_4-_A_Forest_of_Dendrites_19-19.mp4 24.2 MB
04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/01_1-_Information_and_Entropy_19-12.mp4 23.9 MB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/06_6-_Time_to_Network-_Brain_Areas_and_their_Function_17-06.mp4 23.4 MB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/01_1-_Neural_Decoding_and_Signal_Detection_Theory_18-55.mp4 22.7 MB
04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/02_2-_Calculating_Information_in_Spike_Trains_17-25.mp4 22.1 MB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/03_3-_Simplified_Model_Neurons_18-40.mp4 21.2 MB
SupplementaryMaterials/Gaussians.mp4 19.6 MB
SupplementaryMaterials/functions_are_vectors.mp4 19.3 MB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/05_5-_Making_Connections-_Synapses_21-59.mp4 19.2 MB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/04_Guest_Lecture-_Fred_Rieke_14-01.mp4 18.3 MB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/04_4-_Neural_Encoding-_Variability_23-52.mp4 18.1 MB
08_Week_8-_Learning_from_Supervision_and_Rewards_Rajesh_Rao/02_2-_Reinforcement_Learning-_Predicting_Rewards_13-01.mp4 17.2 MB
SupplementaryMaterials/Entropy.mp4 17.1 MB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/03_3-_Neural_Encoding-_Feature_Selection_22-13.mp4 16.7 MB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/03_3-_Computational_Neuroscience-_Mechanistic_and_Interpretive_Models_12-35.mp4 16.7 MB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/02_2-_Spikes_14-09.mp4 16.6 MB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/01_1-_Modeling_Neurons_13-52.mp4 16.6 MB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/03_3-__Reading_Minds-_Stimulus_Reconstruction_11-59.mp4 15.8 MB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/01_1-_What_is_the_Neural_Code_19-18.mp4 15.8 MB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/02_2-_Computational_Neuroscience-_Descriptive_Models_11-50.mp4 15.7 MB
SupplementaryMaterials/eigenlandv2.mp4 15.3 MB
SupplementaryMaterials/gradascent.mp4 13.1 MB
SupplementaryMaterials/changeofbasis.mp4 12.5 MB
SupplementaryMaterials/convolutions_and_linear_systems.mp4 11.7 MB
SupplementaryMaterials/infothry.mp4 10.8 MB
SupplementaryMaterials/dynamicalsystems2D.mp4 9.7 MB
SupplementaryMaterials/2Ddistributions.mp4 9.6 MB
04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/01_1-_Information_and_Entropy_19-12.pdf 8.9 MB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/01_1-_Modeling_Neurons_13-52.pdf 8.7 MB
SupplementaryMaterials/dynamicalsystems1D.mp4 8.7 MB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/02_2-_Neural_Encoding-_Simple_Models_12-06.mp4 8.6 MB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/01_1-_Course_Introduction_and_Logistics_06-05.mp4 8.5 MB
04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/03_3-_Coding_Principles_19-09.pdf 7.5 MB
HomeworkQuizzes/2_Quiz_2_Spike_Triggered_Averages_A_Glimpse_Into_Neural_Encoding/c1p8.mat 5.4 MB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/04_4-_A_Forest_of_Dendrites_19-19.pdf 4.3 MB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/03_3-__Reading_Minds-_Stimulus_Reconstruction_11-59.pdf 4.0 MB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/03_3-_Simplified_Model_Neurons_18-40.pdf 3.9 MB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/02_2-_Population_Coding_and_Bayesian_Estimation_24-44.pdf 3.8 MB
04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/02_2-_Calculating_Information_in_Spike_Trains_17-25.pdf 3.5 MB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/01_1-_Neural_Decoding_and_Signal_Detection_Theory_18-55.pdf 3.5 MB
SupplementaryMaterials/Solving%20the%20RC%20circuit%20equations.pdf 3.3 MB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/03_3-_The_Fascinating_World_of_Recurrent_Networks_25-35.pdf 2.8 MB
HomeworkQuizzes/2_Quiz_2_Spike_Triggered_Averages_A_Glimpse_Into_Neural_Encoding/quiz2_code_python2.7.zip 2.7 MB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/02_2-_Introduction_to_Network_Models_21-47.pdf 2.5 MB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/02_2-_Neural_Encoding-_Simple_Models_12-06.pdf 2.3 MB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/01_1-_Modeling_Connections_between_Neurons_24-28.pdf 2.2 MB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/04_4-_Neural_Encoding-_Variability_23-52.pdf 2.2 MB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/01_1-_What_is_the_Neural_Code_19-18.pdf 2.2 MB
HomeworkQuizzes/2_Quiz_2_Spike_Triggered_Averages_A_Glimpse_Into_Neural_Encoding/quiz2_code.zip 2.0 MB
HomeworkQuizzes/2_Quiz_2_Spike_Triggered_Averages_A_Glimpse_Into_Neural_Encoding/quiz2_code_python3.4.zip 2.0 MB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/03_3-_Neural_Encoding-_Feature_Selection_22-13.pdf 1.9 MB
SupplementaryMaterials/vr99.pdf 1.9 MB
07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/03_3-_Sparse_Coding_and_Predictive_Coding_23-54.pdf 1.8 MB
08_Week_8-_Learning_from_Supervision_and_Rewards_Rajesh_Rao/01_1-_Neurons_as_Classifiers_and_Supervised_Learning_25-57.pdf 1.7 MB
07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/02_2-_Introduction_to_Unsupervised_Learning_22-06.pdf 1.5 MB
SupplementaryMaterials/Science-1997-Schultz-1593-9.pdf 1.5 MB
SupplementaryMaterials/fairhallBerryJNP.pdf 1.5 MB
07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/01_1-_Synaptic_Plasticity_Hebbs_Rule_and_Statistical_Learning_24-17.pdf 1.5 MB
entered_login.html 1.4 MB
SupplementaryMaterials/simoncelli03c-chapter.pdf 1.2 MB
08_Week_8-_Learning_from_Supervision_and_Rewards_Rajesh_Rao/03_3-_Reinforcement_Learning-_Time_for_Action_19-49.pdf 1.1 MB
SupplementaryMaterials/predcoding2011.pdf 1.1 MB
SupplementaryMaterials/olshausen_field_nature_1996.pdf 944.3 kB
SupplementaryMaterials/Slee2005.pdf 911.8 kB
08_Week_8-_Learning_from_Supervision_and_Rewards_Rajesh_Rao/02_2-_Reinforcement_Learning-_Predicting_Rewards_13-01.pdf 885.8 kB
SupplementaryMaterials/math_tutorial_1_functions_are_vectors.pdf 870.6 kB
SupplementaryMaterials/Suppl%20Mat%20Recurrent%20Networks_new.pdf 779.8 kB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/04_4-_The_Electrical_Personality_of_Neurons_23-02.pdf 720.9 kB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/05_5-_Making_Connections-_Synapses_21-59.pdf 720.6 kB
SupplementaryMaterials/Sharpee2004.pdf 643.3 kB
SupplementaryMaterials/nn.pdf 640.5 kB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/02_2-_Computational_Neuroscience-_Descriptive_Models_11-50.pdf 619.5 kB
SupplementaryMaterials/Chapter26_Fairhall.pdf 616.9 kB
SupplementaryMaterials/STAtutorial.pdf 613.0 kB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/06_6-_Time_to_Network-_Brain_Areas_and_their_Function_17-06.pdf 575.8 kB
SupplementaryMaterials/geomLinAlg.pdf 574.7 kB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/03_3-_Computational_Neuroscience-_Mechanistic_and_Interpretive_Models_12-35.pdf 453.1 kB
SupplementaryMaterials/shannon1948.pdf 366.3 kB
HomeworkQuizzes/5_Quiz_5_Networks_and_Learning/5_Quiz_5_Networks_and_Learning.html 359.5 kB
HomeworkQuizzes/5_Quiz_5_Networks_and_Learning/zip_page.html 359.5 kB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/01_1-_Course_Introduction_and_Logistics_06-05.pdf 346.2 kB
HomeworkQuizzes/4_Quiz_4_Computing_in_Carbon/4_Quiz_4_Computing_in_Carbon.html 226.2 kB
HomeworkQuizzes/4_Quiz_4_Computing_in_Carbon/zip_page.html 226.2 kB
SupplementaryMaterials/nn_nv.pdf 204.6 kB
HomeworkQuizzes/0_Quiz_1_MatlabOctave_Programming_Optional/0_Quiz_1_MatlabOctave_Programming_Optional.html 188.7 kB
HomeworkQuizzes/1_Quiz_1a_Python_Programming_Optional/1_Quiz_1a_Python_Programming_Optional.html 165.1 kB
SupplementaryMaterials/SupplMaterialBackprop.pdf 147.8 kB
SupplementaryMaterials/Week%207%20Lecture%20Notes.pdf 133.6 kB
SupplementaryMaterials/entropyderivation.pdf 133.3 kB
HomeworkQuizzes/3_Quiz_3_Neural_Decoding_and_Information_Theory/3_Quiz_3_Neural_Decoding_and_Information_Theory.html 127.6 kB
HomeworkQuizzes/3_Quiz_3_Neural_Decoding_and_Information_Theory/zip_page.html 127.6 kB
MatlabOctaveInfo/matlab.pdf 111.4 kB
HomeworkQuizzes/6_Quiz_6_Learning_from_Supervision_and_Rewards/6_Quiz_6_Learning_from_Supervision_and_Rewards.html 101.0 kB
SupplementaryMaterials/week6.pdf 91.4 kB
SupplementaryMaterials/Week%204%20Lecture%20Notes.pdf 89.2 kB
HomeworkQuizzes/2_Quiz_2_Spike_Triggered_Averages_A_Glimpse_Into_Neural_Encoding/2_Quiz_2_Spike_Triggered_Averages_A_Glimpse_Into_Neural_Encoding.html 88.7 kB
HomeworkQuizzes/2_Quiz_2_Spike_Triggered_Averages_A_Glimpse_Into_Neural_Encoding/zip_page.html 88.7 kB
HomeworkQuizzes/3_Quiz_3_Neural_Decoding_and_Information_Theory/tuning.mat 77.4 kB
SupplementaryMaterials/Week%205%20Lecture%20Notes.pdf 76.7 kB
course_home.html 72.1 kB
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Homeselected/Homeselected.html 72.0 kB
SupplementaryMaterials/Week%208%20Lecture%20Notes.pdf 68.6 kB
SupplementaryMaterials/basisfunctions.pdf 67.9 kB
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DiscussionForums/DiscussionForums.html 63.2 kB
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PythonInfo/PythonInfo.html 51.0 kB
PythonInfo/zip_page.html 51.0 kB
MatlabOctaveInfo/MatlabOctaveInfo.html 48.4 kB
MatlabOctaveInfo/zip_page.html 48.4 kB
SupplementaryMaterials/Week%201%20Lecture%20Notes.pdf 46.3 kB
SurpriseGuestLecturers/SurpriseGuestLecturers.html 45.9 kB
AbouttheInstructors/AbouttheInstructors.html 44.7 kB
SyllabusSchedule/SyllabusSchedule.html 44.2 kB
GradingCourseLogistics/GradingCourseLogistics.html 42.3 kB
TeachingAssistants/TeachingAssistants.html 40.6 kB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/04_4-_Neural_Encoding-_Variability_23-52.srt 37.1 kB
assignment_home.html 35.6 kB
08_Week_8-_Learning_from_Supervision_and_Rewards_Rajesh_Rao/01_1-_Neurons_as_Classifiers_and_Supervised_Learning_25-57.srt 33.9 kB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/03_3-_The_Fascinating_World_of_Recurrent_Networks_25-35.srt 33.8 kB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/03_3-_Neural_Encoding-_Feature_Selection_22-13.srt 33.5 kB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/05_Guest_Lecture-_Eric_Shea-Brown_22-52.srt 33.4 kB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/02_2-_Population_Coding_and_Bayesian_Estimation_24-44.srt 33.3 kB
07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/01_1-_Synaptic_Plasticity_Hebbs_Rule_and_Statistical_Learning_24-17.srt 32.9 kB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/01_1-_Modeling_Connections_between_Neurons_24-28.srt 32.6 kB
07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/03_3-_Sparse_Coding_and_Predictive_Coding_23-54.srt 32.4 kB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/04_4-_The_Electrical_Personality_of_Neurons_23-02.srt 30.9 kB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/01_1-_What_is_the_Neural_Code_19-18.srt 30.9 kB
07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/02_2-_Introduction_to_Unsupervised_Learning_22-06.srt 30.2 kB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/05_5-_Making_Connections-_Synapses_21-59.srt 29.3 kB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/04_4-_A_Forest_of_Dendrites_19-19.srt 29.0 kB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/02_2-_Introduction_to_Network_Models_21-47.srt 28.7 kB
04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/03_3-_Coding_Principles_19-09.srt 28.2 kB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/01_1-_Neural_Decoding_and_Signal_Detection_Theory_18-55.srt 27.9 kB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/03_3-_Simplified_Model_Neurons_18-40.srt 27.6 kB
04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/01_1-_Information_and_Entropy_19-12.srt 25.9 kB
04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/02_2-_Calculating_Information_in_Spike_Trains_17-25.srt 25.1 kB
08_Week_8-_Learning_from_Supervision_and_Rewards_Rajesh_Rao/03_3-_Reinforcement_Learning-_Time_for_Action_19-49.srt 24.9 kB
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06_Week_6-_Computing_with_Networks_Rajesh_Rao/03_3-_The_Fascinating_World_of_Recurrent_Networks_25-35.txt 22.5 kB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/02_2-_Population_Coding_and_Bayesian_Estimation_24-44.txt 22.2 kB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/05_Guest_Lecture-_Eric_Shea-Brown_22-52.txt 22.0 kB
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07_Week_7-_Networks_that_Learn-_Plasticity_in_the_Brain__Learning_Rajesh_Rao/01_1-_Synaptic_Plasticity_Hebbs_Rule_and_Statistical_Learning_24-17.txt 21.9 kB
06_Week_6-_Computing_with_Networks_Rajesh_Rao/01_1-_Modeling_Connections_between_Neurons_24-28.txt 21.7 kB
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04_Week_4-_Information_Theory__Neural_Coding_Adrienne_Fairhall/03_3-_Coding_Principles_19-09.txt 18.7 kB
03_Week_3-_Extracting_Information_from_Neurons-_Neural_Decoding_Adrienne_Fairhall/01_1-_Neural_Decoding_and_Signal_Detection_Theory_18-55.txt 18.5 kB
05_Week_5-_Computing_in_Carbon_Adrienne_Fairhall/03_3-_Simplified_Model_Neurons_18-40.txt 18.3 kB
02_Week_2-_What_do_Neurons_Encode_Neural_Encoding_Models_Adrienne_Fairhall/02_2-_Neural_Encoding-_Simple_Models_12-06.srt 17.8 kB
01_Week_1-_Introduction__Basic_Neurobiology_Rajesh_Rao/05_5-_Making_Connections-_Synapses_21-59.txt 17.7 kB
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