@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{pmid34181592,

title = {A data-driven spike sorting feature map for resolving spike overlap in the feature space},

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

doi = {10.1088/1741-2552/ac0f4a},

issn = {1741-2552},

year  = {2021},

date = {2021-07-01},

urldate = {2021-07-01},

journal = {Journal of Neural Engineering},

volume = {18},

number = {4},

abstract = {Spike sorting is the process of extracting neuronal action potentials, or spikes, from an extracellular brain recording, and assigning each spike to its putative source neuron. Spike sorting is usually treated as a clustering problem. However, this clustering process is known to be affected by overlapping spikes. Existing methods for resolving spike overlap typically require an expensive post-processing of the clustering results. In this paper, we propose the design of a domain-specific feature map, which enables the resolution of spike overlap directly in the feature space.The proposed domain-specific feature map is based on a neural network architecture that is trained to simultaneously perform spike sorting and spike overlap resolution. Overlapping spikes clusters can be identified in the feature space through a linear relation with the single-neuron clusters for which the neurons contribute to the overlapping spikes. To aid the feature map training, a data augmentation procedure is presented that is based on biophysical simulations.We demonstrate the potential of our method on independent and realistic test data. We show that our novel approach for resolving spike overlap generalizes to unseen and realistic test data. Furthermore, the sorting performance of our method is shown to be similar to the state-of-the-art, but our method does not assume the availability of spike templates for resolving spike overlap.Resolving spike overlap directly in the feature space, results in an overall simplified spike sorting pipeline compared to the state-of-the-art. For the state-of-the-art, the overlapping spike snippets exhibit a large spread in the feature space and do not appear as concentrated clusters. This can lead to biased spike template estimates which affect the sorting performance of the state-of-the-art. In our proposed approach, overlapping spikes form concentrated clusters and spike overlap resolution does not depend on the availability of spike templates.},

keywords = {spike sorting},

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{pmid34416178,

title = {Single-trial dynamics of hippocampal spatial representations are modulated by reward value},

author = {F. Michon and E. Krul and J-J. Sun and F. Kloosterman},

doi = {10.1016/j.cub.2021.07.058},

year  = {2021},

date = {2021-00-01},

urldate = {2021-00-01},

journal = {Current Biology},

volume = {31},

number = {20},

pages = {4423--4435},

keywords = {hippocampus, reward, spatial code},

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{nokey,

title = {Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting},

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

doi = {10.1109/TSP.2020.3033973},

year  = {2020},

date = {2020-10-28},

journal = {IEEE Transactions on Signal Processing},

volume = {68},

pages = {6240--6254},

keywords = {spike sorting},

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{pmid32477077,

title = {A Dual Reward-Place Association Task to Study the Preferential Retention of Relevant Memories in Rats},

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

doi = {10.3389/fnbeh.2020.00069},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Frontiers in Behavioral Neuroscience},

volume = {14},

pages = {69},

keywords = {reward, spatial memory},

pubstate = {published},

tppubtype = {article}

}

@article{pmid31031113,

title = {Post-learning Hippocampal Replay Selectively Reinforces Spatial Memory for Highly Rewarded Locations},

author = {F. Michon and J-J. Sun and C. Y. Kim and D. Ciliberti and F. Kloosterman},

doi = {10.1016/j.cub.2019.03.048},

year  = {2019},

date = {2019-05-01},

urldate = {2019-05-01},

journal = {Current Biology},

volume = {29},

number = {9},

pages = {1436--1444},

keywords = {closed-loop neuroscience, hippocampus, memory consolidation, memory replay, reward, sharp-wave ripples, spatial memory},

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{nokey,

title = {Algorithm/Architecture Co-optimisation Technique for Automatic Data Reduction of Wireless Read-Out in High-Density Electrode Arrays},

author = {Y.H. Yassin and F. Catthoor and F. Kloosterman and J. Couto and J-J. Sun and P.G. Kjeldsberg and N. Van Helleputte},

doi = {10.1145/3190854},

year  = {2018},

date = {2018-05-22},

journal = {ACM Transactions on Embedded Computing Systems},

volume = {17},

issue = {3},

pages = {1--19},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid29072798,

title = {Characteristics of CA1 place fields in a complex maze with multiple choice points},

author = {H. Tanila and S. Ku and F. Kloosterman and M. A. Wilson},

doi = {10.1002/hipo.22810},

issn = {1098-1063},

year  = {2018},

date = {2018-02-01},

urldate = {2018-02-01},

journal = {Hippocampus},

volume = {28},

number = {2},

pages = {81--96},

abstract = {For the sake of rigorous control of task variables, hippocampal place cells have been usually studied in relatively simple environments. To approach the situation of real-life navigation in an urban-like environment, we recorded CA1 place cells while rats performance a memory task in a "Townmaze" with two start locations, three alternate paths in the maze midsection, followed by a two-way choice that determined the trial outcome, access to a goal compartment. Further, to test the ability of place cells to update their spatial representation upon local changes in the environment while maintaining the integrity of the overall spatial map to allow effective navigation, we occasionally introduced barriers in the maze mid-section to force the rat to select a nonpreferred route. The "Townmaze" revealed many new interesting features of CA1 neurons. First, we found neurons with 3-5 fields that appear to represent segments on a single common route through the maze. Second, we found neurons with 3-5 fields similarly aligned along the longitudinal or transverse maze axis. Responses to the barriers were assessed separately near and far from the barriers. Appearance of new fields in response to the barriers took place almost exclusively only locally near the barrier, whereas in-field firing rate changes occurred throughout the maze. Further, field location changes did not correlate with the task performance, whereas firing rate changes did. These findings suggest that in a complex environment with blocked distal views, CA1 neurons code for the environment as sequences of significant nodes but are also capable of extracting and associating common elements across these sequences.},

keywords = {hippocampus, spatial code},

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{pmid29932426,

title = {Towards online spike sorting for high-density neural probes using discriminative template matching with suppression of interfering spikes},

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

doi = {10.1088/1741-2552/aace8a},

year  = {2018},

date = {2018-00-01},

urldate = {2018-00-01},

journal = {Journal of Neural Engineering},

volume = {15},

number = {5},

pages = {056005},

keywords = {spike sorting},

pubstate = {published},

tppubtype = {article}

}

@article{pmid29050390,

title = {Involvement of fast-spiking cells in ictal sequences during spontaneous seizures in rats with chronic temporal lobe epilepsy},

author = {A. R. Neumann and R. Raedt and H. W. Steenland and M. Sprengers and K. Bzymek and Z. Navratilova and L. Mesina and J. Xie and V. Lapointe and F. Kloosterman and K. Vonck and P. A. J. M. Boon and I. Soltesz and B. L. McNaughton and A. Luczak},

doi = {10.1093/brain/awx179},

year  = {2017},

date = {2017-09-01},

urldate = {2017-09-01},

journal = {Brain},

volume = {140},

number = {9},

pages = {2355--2369},

keywords = {epilepsy},

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{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{pmid27172447,

title = {A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields},

author = {R. Agarwal and Z. Chen and F. Kloosterman and M. A. Wilson and S. V. Sarma},

doi = {10.1162/NECO_a_00847},

year  = {2016},

date = {2016-07-01},

urldate = {2016-07-01},

journal = {Neural Computation},

volume = {28},

number = {7},

pages = {1356--1387},

keywords = {neural decoding, spatial code},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes},

author = {D. Sodkomkham and D. Ciliberti and M. A. Wilson and K. Fukui and K. Moriyama and M. Numao and F. Kloosterman},

doi = {10.1016/j.knosys.2015.09.013},

year  = {2016},

date = {2016-02-15},

journal = {Knowledge-Based Systems},

volume = {94},

pages = {1--12},

keywords = {neural decoding},

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}

}

@article{pmid25874929,

title = {A closed-loop compressive-sensing-based neural recording system},

author = {J. Zhang and S. Mitra and Y. Suo and A. Cheng and T. Xiong and F. Michon and M. Welkenhuysen and F. Kloosterman and P. S. Chin and S. Hsiao and T. D. Tran and F. Yazicioglu and R. Etienne-Cummings},

doi = {10.1088/1741-2560/12/3/036005},

year  = {2015},

date = {2015-06-01},

urldate = {2015-06-01},

journal = {Journal of Neural Engineering},

volume = {12},

number = {3},

pages = {036005},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid26465113,

title = {VTA neurons coordinate with the hippocampal reactivation of spatial experience},

author = {S. N. Gomperts and F. Kloosterman and M. A. Wilson},

doi = {10.7554/eLife.05360},

year  = {2015},

date = {2015-00-01},

urldate = {2015-00-01},

journal = {Elife},

volume = {4},

pages = {e05360},

keywords = {hippocampus, memory replay, reward, ventral tegmental area},

pubstate = {published},

tppubtype = {article}

}

@article{pmid24089403,

title = {Bayesian decoding using unsorted spikes in the rat hippocampus},

author = {F. Kloosterman and S. P. Layton and Z. Chen and M. A. Wilson},

doi = {10.1152/jn.01046.2012},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

journal = {Journal of Neurophysiology},

volume = {111},

number = {1},

pages = {217--227},

keywords = {hippocampus, neural decoding},

pubstate = {published},

tppubtype = {article}

}

@article{pmid22307459,

title = {Uncovering spatial topology represented by rat hippocampal population neuronal codes},

author = {Z. Chen and F. Kloosterman and E. N. Brown and M. A. Wilson},

doi = {10.1007/s10827-012-0384-x},

year  = {2012},

date = {2012-00-01},

urldate = {2012-00-01},

journal = {Journal of Computational Neuroscience},

volume = {33},

number = {2},

pages = {227--255},

keywords = {hippocampus, spatial code},

pubstate = {published},

tppubtype = {article}

}

@article{pmid19562084,

title = {Characterizing the dynamic frequency structure of fast oscillations in the rodent hippocampus},

author = {D. P. Nguyen and F. Kloosterman and R. Barbieri and E. N. Brown and M. A. Wilson},

doi = {10.3389/neuro.07.011.2009},

year  = {2009},

date = {2009-01-01},

urldate = {2009-01-01},

journal = {Frontiers in Integrative Neuroscience},

volume = {3},

pages = {11},

keywords = {hippocampus, sharp-wave ripples},

pubstate = {published},

tppubtype = {article}

}

@article{pmid19709631,

title = {Hippocampal replay of extended experience},

author = {T. J. Davidson and F. Kloosterman and M. A. Wilson},

doi = {10.1016/j.neuron.2009.07.027},

year  = {2009},

date = {2009-00-01},

urldate = {2009-00-01},

journal = {Neuron},

volume = {63},

number = {4},

pages = {497--507},

keywords = {hippocampus, memory replay, neural decoding},

pubstate = {published},

tppubtype = {article}

}

@article{pmid19387422,

title = {Micro-drive array for chronic in vivo recording: tetrode assembly},

author = {D. P. Nguyen and S. P. Layton and G. Hale and S. N. Gomperts and T. J. Davidson and F. Kloosterman and M. A. Wilson},

doi = {10.3791/1098},

year  = {2009},

date = {2009-00-01},

urldate = {2009-00-01},

journal = {JoVE},

number = {26},

keywords = {brain implant},

pubstate = {published},

tppubtype = {article}

}

@article{pmid19381129,

title = {Micro-drive array for chronic in vivo recording: drive fabrication},

author = {F. Kloosterman and T. J. Davidson and S. N. Gomperts and S. P. Layton and G. Hale and D. P. Nguyen and M. A. Wilson},

doi = {10.3791/1094},

year  = {2009},

date = {2009-00-01},

urldate = {2009-00-01},

journal = {JoVE},

number = {26},

keywords = {brain implant},

pubstate = {published},

tppubtype = {article}

}

@article{pmid16342056,

title = {Presynaptic GABA(B) receptors on glutamatergic terminals of CA1 pyramidal cells decrease in efficacy after partial hippocampal kindling},

author = {N. Poon and F. Kloosterman and C. Wu and L. S. Leung},

doi = {10.1002/syn.20223},

year  = {2006},

date = {2006-03-01},

urldate = {2006-03-01},

journal = {Synapse},

volume = {59},

number = {3},

pages = {125--134},

keywords = {hippocampus},

pubstate = {published},

tppubtype = {article}

}

@article{pmid16177045,

title = {Presubiculum stimulation in vivo evokes distinct oscillations in superficial and deep entorhinal cortex layers in chronic epileptic rats},

author = {E. A. Tolner and F. Kloosterman and E. A. Vliet and M. P. Witter and F. H. Silva and J. A. Gorter},

doi = {10.1523/JNEUROSCI.1165-05.2005},

year  = {2005},

date = {2005-09-01},

urldate = {2005-09-01},

journal = {Journal of Neuroscience},

volume = {25},

number = {38},

pages = {8755--8765},

keywords = {entorhinal cortex, epilepsy},

pubstate = {published},

tppubtype = {article}

}

@article{pmid15987257,

title = {Physiological changes in chronic epileptic rats are prominent in superficial layers of the medial entorhinal area},

author = {E. A. Tolner and F. Kloosterman and S. N. Kalitzin and F. H. Silva and J. A. Gorter},

doi = {10.1111/j.1528-1167.2005.01012.x},

year  = {2005},

date = {2005-01-01},

urldate = {2005-01-01},

journal = {Epilepsia},

volume = {46 Suppl 5},

pages = {72--81},

keywords = {entorhinal cortex, epilepsy},

pubstate = {published},

tppubtype = {article}

}

@article{pmid15390170,

title = {Two reentrant pathways in the hippocampal-entorhinal system},

author = {F. Kloosterman and T. Haeften and F. H. Lopes da Silva},

doi = {10.1002/hipo.20022},

year  = {2004},

date = {2004-01-01},

urldate = {2004-01-01},

journal = {Hippocampus},

volume = {14},

number = {8},

pages = {1026--1039},

keywords = {entorhinal cortex, hippocampus},

pubstate = {published},

tppubtype = {article}

}

@article{pmid14656299,

title = {Electrophysiological characterization of interlaminar entorhinal connections: an essential link for re-entrance in the hippocampal-entorhinal system},

author = {F. Kloosterman and T. Van Haeften and M. P. Witter and F. H. Lopes Da Silva},

doi = {10.1111/j.1460-9568.2003.03046.x},

year  = {2003},

date = {2003-12-01},

urldate = {2003-12-01},

journal = {European Journal of Neuroscience},

volume = {18},

number = {11},

pages = {3037--3052},

keywords = {entorhinal cortex, hippocampus},

pubstate = {published},

tppubtype = {article}

}

@article{pmid12454982,

title = {Topographical and laminar organization of subicular projections to the parahippocampal region of the rat},

author = {F. Kloosterman and M. P. Witter and T. Van Haeften},

doi = {10.1002/cne.10472},

year  = {2003},

date = {2003-01-01},

urldate = {2003-01-01},

journal = {Journal of Comparative Neurology},

volume = {455},

number = {2},

pages = {156--171},

keywords = {anatomy, entorhinal cortex, subiculum},

pubstate = {published},

tppubtype = {article}

}

@article{pmid12034331,

title = {Recording and marking with silicon multichannel electrodes},

author = {G. Townsend and P. Peloquin and F. Kloosterman and J. F. Hetke and L. S. Leung},

doi = {10.1016/s1385-299x(02)00139-3},

year  = {2002},

date = {2002-00-01},

urldate = {2002-00-01},

journal = {Brain Research Protocols},

volume = {9},

number = {2},

pages = {122--129},

keywords = {neural probe},

pubstate = {published},

tppubtype = {article}

}

@article{pmid11698533,

title = {Apical and basal orthodromic population spikes in hippocampal CA1 in vivo show different origins and patterns of propagation},

author = {F. Kloosterman and P. Peloquin and L. S. Leung},

doi = {10.1152/jn.2001.86.5.2435},

issn = {0022-3077},

year  = {2001},

date = {2001-11-01},

urldate = {2001-11-01},

journal = {Journal of Neurophysiology},

volume = {86},

number = {5},

pages = {2435--2444},

abstract = {There is controversy concerning whether orthodromic action potentials originate from the apical or basal dendrites of CA1 pyramidal cells in vivo. The participation of the dendrites in the initialization and propagation of population spikes in CA1 of urethan-anesthetized rats in vivo was studied using simultaneously recorded field potentials and current source density (CSD) analysis. CSD analysis revealed that the antidromic population spike, evoked by stimulation of the alveus, invaded in succession, the axon initial segment (stratum oriens), cell body and approximately 200 microm of the proximal apical dendrites. Excitation of the basal dendrites of CA1, following stimulation of CA3 stratum oriens, evoked an orthodromic spike that started near the cell body or initial segment and then propagated approximately 200 microm into the proximal apical dendrites. In contrast, the population spike that followed excitation of the apical dendrites of CA1 initiated at the proximal apical dendrites, 50-100 microm distal to the cell body layer, and then propagated centripetally to the cell body and the proximal basal dendrites. A late apical dendritic spike may arise in the mid-apical dendrites (250-300 microm from the cell layer) and propagated distally. The origin or the pattern of propagation of each population spike type was similar for near-threshold to supramaximal stimulus intensities. In summary, population spikes following apical dendritic and basal dendritic excitation in vivo appeared to originate from different locations. Apical dendritic excitation evoked a population spike that initiated in the proximal apical dendrites while basal dendritic excitation evoked a spike that started near the initial segment or cell body. An original finding of this study is the propagation of the population spike from basal to apical dendrites in vivo or vice versa. This backpropagation from one dendritic tree to the other may play an important role in the synaptic plasticity among a network of CA3 to CA1 neurons.},

keywords = {hippocampus},

pubstate = {published},

tppubtype = {article}

}