{"push_id":1238189744,"size":10,"distinct_size":8,"ref":"refs/heads/plot_sequence","head":"7607605ebb8071ba5045d5959284626418bcf392","before":"ddaa45306929253db1c164d4e0a2a05424233bf4","commits":[{"sha":"5417a73bb92a25d4039a16fc8654bb5610aa770b","author":{"name":"Emily Irvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Reorganizing decoding. Adding detecting decoded sequences\n\nA sequence here is defined by decoded locations of a minimum\nlength with a maximum amount of space between them. Eg. the\ndecoded location is not allowed to 'jump' further than a\nspecified distance (in linear bins).","distinct":false,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/5417a73bb92a25d4039a16fc8654bb5610aa770b"},{"sha":"fcf06ae614a1bb43c3734415e7b6a9c992617db6","author":{"name":"emirvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Merge branch 'decoding'","distinct":false,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/fcf06ae614a1bb43c3734415e7b6a9c992617db6"},{"sha":"18bb760885bd6cdb898b5da477947227ce254cb4","author":{"name":"Emily Irvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Newly spike sorted rat\n\nSeems to have few unique fields.","distinct":true,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/18bb760885bd6cdb898b5da477947227ce254cb4"},{"sha":"67607c6d5fcae55ab31f825309399b03608f8228","author":{"name":"Emily Irvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Updating linear trajectories\n\nFixing some issues that became obvious with plotting\nthe linear position over time.","distinct":true,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/67607c6d5fcae55ab31f825309399b03608f8228"},{"sha":"2a916e54b9491b1bc442b00207d56bca76379f49","author":{"name":"Emily Irvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Adjusting sequence plotting\n\nEnsuring linear trajectory has fewer breaks, while still encompassing\nmuch of the animal's position. Plotting neuron raster individually,\nsuch that they're in line with that neuron's tuning curve.\n\nTesting plot of 2D spikes from neurons with fields. It's pretty messy\nright now.","distinct":true,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/2a916e54b9491b1bc442b00207d56bca76379f49"},{"sha":"c66200e833f2d0d04363f1f4c9a7f9fcd818f37e","author":{"name":"emirvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Scalebar plotting above axis","distinct":true,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/c66200e833f2d0d04363f1f4c9a7f9fcd818f37e"},{"sha":"38d3208cbd919d8ba19eb556e60fe30347b80a9e","author":{"name":"Emily Irvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Updating plots for Matt's talk\n\nIncluding picking LFP with good SWR.","distinct":true,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/38d3208cbd919d8ba19eb556e60fe30347b80a9e"},{"sha":"74379ec896cacbe01a0e80e3545453e34cc27708","author":{"name":"Emily Irvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Finding speed (velocity) in 2D space.\n\nUseful for tuning curves and plotting spikes in 2D above speed\nthreshold.","distinct":true,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/74379ec896cacbe01a0e80e3545453e34cc27708"},{"sha":"05f06a371e91557d186ba2822cc5d7c4151e9ab1","author":{"name":"Emily Irvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Edits to plotting sequences\n\nUsing speed threshold (unique to each session), generated new\ntuning curves and plotting many field spikes in 2d from u and\nshortcut trajectories.","distinct":true,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/05f06a371e91557d186ba2822cc5d7c4151e9ab1"},{"sha":"7607605ebb8071ba5045d5959284626418bcf392","author":{"name":"Emily Irvine","email":"93b1aa553834c592dad7a0d2ae7acc2f5dcfa962@gmail.com"},"message":"Plotting sequences for templeton retreat\n\nIncluding all neurons with fields along shortcut/u trajectory,\nregardless as to whether the also have fields anywhere else.\n\nGenerating tuning curves and linear positions with limiting speed\n(velocity) thresholds.\n\nPlotting spikes during certain phases of neurons with fields\nalong with their tuning curves (in the same colour as how they\nappear in the raster plot of sequences).\n\nIt is difficult to find obviously good sequences - even during the run\ntimes.","distinct":true,"url":"https://api.github.com/repos/vandermeerlab/python-vdmlab/commits/7607605ebb8071ba5045d5959284626418bcf392"}]}
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