@article{pmid35786642,

title = {Simultaneous Cellular Imaging, Electrical Recording and Stimulation of Hippocampal Activity in Freely Behaving Mice},

author = {C. Y. Kim and S. J. Kim and F. Kloosterman},

doi = {10.5607/en22011},

year  = {2022},

date = {2022-06-01},

urldate = {2022-06-01},

journal = {Experimental Neurobiology},

volume = {31},

number = {3},

pages = {208--220},

abstract = {Hippocampal sharp-wave ripple activity (SWRs) and the associated replay of neural activity patterns are well-known for their role in memory consolidation. This activity has been studied using electrophysiological approaches, as high temporal resolution is required to recognize SWRs in the neuronal signals. However, it has been difficult to analyze the individual contribution of neurons to task-specific SWRs, because it is hard to track neurons across a long time with electrophysiological recording. In this study, we recorded local field potential (LFP) signals in the hippocampal CA1 of freely behaving mice and simultaneously imaged calcium signals in contralateral CA1 to leverage the advantages of both electrophysiological and imaging approaches. We manufactured a custom-designed microdrive array and targeted tetrodes to the left hippocampus CA1 for LFP recording and applied electrical stimulation in the ventral hippocampal commissure (VHC) for closed-loop disruption of SWRs. Neuronal population imaging in the right hippocampal CA1 was performed using a miniature fluorescent microscope (Miniscope) and a genetically encoded calcium indicator. As SWRs show highly synchronized bilateral occurrence, calcium signals of SWR-participating neurons could be identified and tracked in spontaneous or SWR-disrupted conditions. Using this approach, we identified a subpopulation of CA1 neurons showing synchronous calcium elevation to SWRs. Our results showed that SWR-related calcium transients are more disrupted by electrical stimulation than non-SWRrelated calcium transients, validating the capability of the system to detect and disrupt SWRs. Our dual recording method can be used to uncover the dynamic participation of individual neurons in SWRs and replay over extended time windows.},

keywords = {brain implant, neurotechnology},

pubstate = {published},

tppubtype = {article}

}

@article{pmid34108732,

title = {Implantation of Neuropixels probes for chronic recording of neuronal activity in freely behaving mice and rats},

author = {R. J. J. van Daal and Ç. Aydin and F. Michon and A. A. A. Aarts and M. Kraft and F. Kloosterman and S. Haesler},

doi = {10.1038/s41596-021-00539-9},

year  = {2021},

date = {2021-07-01},

urldate = {2021-07-01},

journal = {Nature Protocols},

volume = {16},

number = {7},

pages = {3322--3347},

abstract = {How dynamic activity in neural circuits gives rise to behavior is a major area of interest in neuroscience. A key experimental approach for addressing this question involves measuring extracellular neuronal activity in awake, behaving animals. Recently developed Neuropixels probes have provided a step change in recording neural activity in large tissue volumes with high spatiotemporal resolution. This protocol describes the chronic implantation of Neuropixels probes in mice and rats using compact and reusable 3D-printed fixtures. The fixtures facilitate stable chronic in vivo recordings in freely behaving rats and mice. They consist of two parts: a covered main body and a skull connector. Single-, dual- and movable-probe fixture variants are available. After completing an experiment, probes are safely recovered for reimplantation by a dedicated retrieval mechanism. Fixture assembly and surgical implantation typically take 4-5 h, and probe retrieval takes ~30 min, followed by 12 h of incubation in probe cleaning agent. The duration of data acquisition depends on the type of behavioral experiment. Since our protocol enables stable, chronic recordings over weeks, it enables longitudinal large-scale single-unit data to be routinely obtained in a cost-efficient manner, which will facilitate many studies in systems neuroscience.},

keywords = {brain implant, neural probe, neuropixels, neurotechnology},

pubstate = {published},

tppubtype = {article}

}

@article{pmid32617751,

title = {SHYBRID: A Graphical Tool for Generating Hybrid Ground-Truth Spiking Data for Evaluating Spike Sorting Performance},

author = {J. Wouters and F. Kloosterman and A. Bertrand},

doi = {10.1007/s12021-020-09474-8},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Neuroinformatics},

volume = {19},

number = {1},

pages = {141--158},

keywords = {neurotechnology, scientific software, spike sorting},

pubstate = {published},

tppubtype = {article}

}

@article{pmid33859006,

title = {Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings},

author = {N. A. Steinmetz and C. Aydin and A. Lebedeva and M. Okun and M. Pachitariu and M. Bauza and M. Beau and J. Bhagat and C. hm and M. Broux and S. Chen and J. Colonell and R. J. Gardner and B. Karsh and F. Kloosterman and D. Kostadinov and C. Mora-Lopez and J. O'Callaghan and J. Park and J. Putzeys and B. Sauerbrei and R. J. J. Daal and A. Z. Vollan and S. Wang and M. Welkenhuysen and Z. Ye and J. T. Dudman and B. Dutta and A. W. Hantman and K. D. Harris and A. K. Lee and E. I. Moser and J. O'Keefe and A. Renart and K. Svoboda and M. usser and S. Haesler and M. Carandini and T. D. Harris},

doi = {10.1126/science.abf4588},

year  = {2021},

date = {2021-00-01},

urldate = {2021-00-01},

journal = {Science},

volume = {372},

number = {6539},

keywords = {brain implant, neuropixels, neurotechnology},

pubstate = {published},

tppubtype = {article}

}

@article{pmid31791021,

title = {System for recording from multiple flexible polyimide neural probes in freely behaving animals},

author = {R. J. J. van Daal and J. J. Sun and F. Ceyssens and F. Michon and M. Kraft and R. Puers and F. Kloosterman},

doi = {10.1088/1741-2552/ab5e19},

year  = {2020},

date = {2020-02-01},

urldate = {2020-02-01},

journal = {Journal of Neural Engineering},

volume = {17},

number = {1},

pages = {016046},

keywords = {brain implant, neural probe, neurotechnology},

pubstate = {published},

tppubtype = {article}

}

@article{pmid30517852,

title = {Real-Time Readout of Large-Scale Unsorted Neural Ensemble Place Codes},

author = {S. Hu and D. Ciliberti and A. D. Grosmark and F. Michon and D. Ji and H. Penagos and G. Buzsaki and M. A. Wilson and F. Kloosterman and Z. Chen},

doi = {10.1016/j.celrep.2018.11.033},

year  = {2018},

date = {2018-12-01},

urldate = {2018-12-01},

journal = {Cell Reports},

volume = {25},

number = {10},

pages = {2635--2642},

keywords = {closed-loop neuroscience, neural decoding, neurotechnology},

pubstate = {published},

tppubtype = {article}

}

@article{pmid30373716,

title = {Real-time classification of experience-related ensemble spiking patterns for closed-loop applications},

author = {D. Ciliberti and F. Michon and F. Kloosterman},

doi = {10.7554/eLife.36275},

year  = {2018},

date = {2018-00-01},

urldate = {2018-00-01},

journal = {Elife},

volume = {7},

keywords = {closed-loop neuroscience, memory replay, neural decoding, neurotechnology, scientific software},

pubstate = {published},

tppubtype = {article}

}

@article{pmid28548044,

title = {Falcon: a highly flexible open-source software for closed-loop neuroscience},

author = {D. Ciliberti and F. Kloosterman},

doi = {10.1088/1741-2552/aa7526},

year  = {2017},

date = {2017-00-01},

urldate = {2017-00-01},

journal = {Journal of Neural Engineering},

volume = {14},

number = {4},

pages = {045004},

keywords = {closed-loop neuroscience, neurotechnology, scientific software},

pubstate = {published},

tppubtype = {article}

}

@article{pmid29048396,

title = {Time Multiplexed Active Neural Probe with 1356 Parallel Recording Sites},

author = {B. C. Raducanu and R. F. Yazicioglu and C. M. Lopez and M. Ballini and J. Putzeys and S. Wang and A. Andrei and V. Rochus and M. Welkenhuysen and N. V. Helleputte and S. Musa and R. Puers and F. Kloosterman and C. V. Hoof and R. Fiath and I. Ulbert and S. Mitra},

doi = {10.3390/s17102388},

year  = {2017},

date = {2017-00-01},

urldate = {2017-00-01},

journal = {Sensors},

volume = {17},

number = {10},

keywords = {neural probe, neurotechnology},

pubstate = {published},

tppubtype = {article}

}

@article{pmid27351591,

title = {Integration of silicon-based neural probes and micro-drive arrays for chronic recording of large populations of neurons in behaving animals},

author = {F. Michon and A. Aarts and T. Holzhammer and P. Ruther and G. Borghs and B. McNaughton and F. Kloosterman},

doi = {10.1088/1741-2560/13/4/046018},

year  = {2016},

date = {2016-00-01},

urldate = {2016-00-01},

journal = {Journal of Neural Engineering},

volume = {13},

number = {4},

pages = {046018},

keywords = {brain implant, neural probe, neurotechnology},

pubstate = {published},

tppubtype = {article}

}